From 731005bd648e2128e778739df7502b756b18d13c Mon Sep 17 00:00:00 2001 From: <> Date: Thu, 1 Aug 2024 02:38:24 +0000 Subject: [PATCH] Deployed 7098a56 with MkDocs version: 1.6.0 --- .../f1tenth-sim-racing-cdc-2024/index.html | 4 ++-- search/search_index.json | 2 +- sitemap.xml | 10 +++++----- sitemap.xml.gz | Bin 267 -> 266 bytes 4 files changed, 8 insertions(+), 8 deletions(-) diff --git a/competitions/f1tenth-sim-racing-cdc-2024/index.html b/competitions/f1tenth-sim-racing-cdc-2024/index.html index 1b581df..173668b 100644 --- a/competitions/f1tenth-sim-racing-cdc-2024/index.html +++ b/competitions/f1tenth-sim-racing-cdc-2024/index.html @@ -801,7 +801,7 @@

Registration

- Registration Opens on Aug 01, 2024 + Registration Form

Registration for the Sim Racing League is free of cost and seperate from the Physical Racing League and the conference registrations themselves. The above form signs you up only for the Sim Racing League, and for its orientation and information sessions. Although you can participate in the Sim Racing League without attending the conference, we strongly encourage all competition participants to attent the conference in person. This will help you connect with the broader AutoDRIVE and F1TENTH communities, and you can also witness/participate in the physical F1TENTH autonomous racing competition! @@ -849,7 +849,7 @@

Results - July 29, 2024 + August 1, 2024 diff --git a/search/search_index.json b/search/search_index.json index 9301131..82786d8 100644 --- a/search/search_index.json +++ b/search/search_index.json @@ -1 +1 @@ -{"config":{"lang":["en"],"separator":"[\\s\\u200b\\-_,:!=\\[\\]()\"`/]+|\\.(?!\\d)|&[lg]t;|(?!\\b)(?=[A-Z][a-z])","pipeline":["stopWordFilter"]},"docs":[{"location":"about/","title":"ABOUT","text":""},{"location":"about/#project-overview","title":"Project Overview","text":"

AutoDRIVE is envisioned to be an integrated platform for autonomous driving research and education. It bridges the gap between software simulation and hardware deployment by providing the AutoDRIVE Simulator and AutoDRIVE Testbed, a well-suited duo for sim2real applications. It also offers AutoDRIVE Devkit, a developer's kit for rapid and flexible development of autonomy algorithms. Although the platform is primarily targeted towards autonomous driving, it also supports the development of smart-city solutions for managing the traffic flow.

"},{"location":"about/#autodrive-testbed","title":"AutoDRIVE Testbed","text":"Vehicle Infrastructure

AutoDRIVE Testbed is the hardware setup comprising of a scaled vehicle model (called Nigel) and a modular infrastructure development kit. The vehicle is equipped with a comprehensive sensor suite for redundant perception, a set of actuators for constrained motion control and a fully functional lighting system for illumination and signaling. It can be teleoperated (in manual mode) or self-driven (in autonomous mode). The infrastructure development kit comprises of various environment modules along with active and passive traffic elements.

"},{"location":"about/#autodrive-simulator","title":"AutoDRIVE Simulator","text":"Vehicle Infrastructure

AutoDRIVE Simulator is the digital twin of the AutoDRIVE Testbed, which enables the users to virtually prototype their algorithms either due to hardware limitations or as a part of the reiterative development cycle. It is developed atop the Unity game engine and offers a WebSocket interface for bilateral communication with the autonomy algorithms developed independently using the AutoDRIVE Devkit. The standalone simulator application is targeted at Full HD resolution (1920x1080p) with cross-platform support (Windows, macOS and Linux). It is a light-weight software application that utilizes system resources wisely. This enables deployment of the simulator application and autonomy algorithms on a single machine; nonetheless, distributed computing is also supported.

"},{"location":"about/#autodrive-devkit","title":"AutoDRIVE Devkit","text":"ADSS Toolkit SCSS Toolkit

AutoDRIVE Devkit is a developer's kit that enables the users to exploit AutoDRIVE Simulator or AutoDRIVE Testbed for rapid and flexible development of autonomy algorithms pertaining to autonomous driving (using ADSS Toolkit) as well as smart city management (using SCSS Toolkit). It supports local (decentralized) as well as distributed (centralized) computing and is compatible with Robot Operating System (ROS), while also offering a direct scripting support for Python and C++.

"},{"location":"about/#awards-and-recognition","title":"Awards and Recognition","text":""},{"location":"about/#resources","title":"Resources","text":""},{"location":"about/#highlights","title":"Highlights","text":"

We encourage you to take a look at the following quick highlights to keep up with the recent advances in AutoDRIVE Ecosystem.

AutoDRIVE Ecosystem Pitch Video AutoDRIVE Simulator Pitch Video AutoDRIVE Testbed Pitch Video Nigel 4WD4WS Feature Video F1TENTH in AutoDRIVE Simulator OpenCAV in AutoDRIVE Simulator RZR in AutoDRIVE Simulator Parallel RL using AutoDRIVE Simulator Deformable Terrain in AutoDRIVE Simulator Variability Testing using Nigel Variability Testing using OpenCAV"},{"location":"about/#demonstrations","title":"Demonstrations","text":"

We encourage you to take a look at the following research projects developed using the AutoDRIVE Ecosystem.

Autonomous Parking Behavioural Cloning Intersection Traversal Smart City Management"},{"location":"about/#presentations","title":"Presentations","text":"

We encourage you to take a look at the following presentations to gain a better insight into the AutoDRIVE Ecosystem.

SRMIST UG Final Year Project Viva Voce CCRIS 2021 Virtual Presentation AutoDRIVE Technical Discussion @ ARMLab CU-ICAR Autoware COE Seminar AIM 2023 Video Presentation OpenCAV Technical Discussion @ ARMLab CU-ICAR OpenCAV CUICAR AuE Seminar SMRDC 2023 Finalist Pitch MECC 2023 Video Pesentation IROS 2023 Presentation"},{"location":"about/#publications","title":"Publications","text":"

We encourage you to read and cite the relevant papers if you use any part of this project for your research:

"},{"location":"about/#autodrive-a-comprehensive-flexible-and-integrated-digital-twin-ecosystem-for-enhancing-autonomous-driving-research-and-education","title":"AutoDRIVE: A Comprehensive, Flexible and Integrated Digital Twin Ecosystem for Enhancing Autonomous Driving Research and Education","text":"

@article{AutoDRIVE-Ecosystem-2023,\nauthor = {Samak, Tanmay and Samak, Chinmay and Kandhasamy, Sivanathan and Krovi, Venkat and Xie, Ming},\ntitle = {AutoDRIVE: A Comprehensive, Flexible and Integrated Digital Twin Ecosystem for Autonomous Driving Research &amp; Education},\njournal = {Robotics},\nvolume = {12},\nyear = {2023},\nnumber = {3},\narticle-number = {77},\nurl = {https://www.mdpi.com/2218-6581/12/3/77},\nissn = {2218-6581},\ndoi = {10.3390/robotics12030077}\n}\n
This work has been published in MDPI Robotics. The open-access publication can be found on MDPI.

"},{"location":"about/#autodrive-simulator-a-simulator-for-scaled-autonomous-vehicle-research-and-education","title":"AutoDRIVE Simulator: A Simulator for Scaled Autonomous Vehicle Research and Education","text":"

@inproceedings{AutoDRIVE-Simulator-2021,\nauthor = {Samak, Tanmay Vilas and Samak, Chinmay Vilas and Xie, Ming},\ntitle = {AutoDRIVE Simulator: A Simulator for Scaled Autonomous Vehicle Research and Education},\nyear = {2021},\nisbn = {9781450390453},\npublisher = {Association for Computing Machinery},\naddress = {New York, NY, USA},\nurl = {https://doi.org/10.1145/3483845.3483846},\ndoi = {10.1145/3483845.3483846},\nbooktitle = {2021 2nd International Conference on Control, Robotics and Intelligent System},\npages = {1\u20135},\nnumpages = {5},\nlocation = {Qingdao, China},\nseries = {CCRIS'21}\n}\n
This work has been published at 2021 International Conference on Control, Robotics and Intelligent System (CCRIS). The publication can be found on ACM Digital Library.

"},{"location":"about/#towards-mechatronics-approach-of-system-design-verification-and-validation-for-autonomous-vehicles","title":"Towards Mechatronics Approach of System Design, Verification and Validation for Autonomous Vehicles","text":"

@inproceedings{AutoDRIVE-Mechatronics-2023,\nauthor = {Samak, Chinmay and Samak, Tanmay and Krovi, Venkat},\nbooktitle = {2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)}, \ntitle = {Towards Mechatronics Approach of System Design, Verification and Validation for Autonomous Vehicles}, \nyear = {2023},\nvolume = {},\nnumber = {},\npages = {1208-1213},\ndoi = {10.1109/AIM46323.2023.10196233},\nurl = {https://doi.org/10.1109/AIM46323.2023.10196233}\n}\n
This work has been published at 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). The publication can be found on IEEE Xplore.

"},{"location":"about/#towards-sim2real-transfer-of-autonomy-algorithms-using-autodrive-ecosystem","title":"Towards Sim2Real Transfer of Autonomy Algorithms using AutoDRIVE Ecosystem","text":"

@eprint{AutoDRIVE-Sim2Real-2023,\ntitle = {Towards Sim2Real Transfer of Autonomy Algorithms using AutoDRIVE Ecosystem}, \nauthor = {Chinmay Vilas Samak and Tanmay Vilas Samak and Venkat Krovi},\nyear = {2023},\neprint ={2307.13272},\narchivePrefix = {arXiv},\nprimaryClass = {cs.RO}\n}\n
This work has been accepted at 2023 AACC/IFAC Modeling, Estimation and Control Conference (MECC). The open-access publication can be found on ScienceDirect.

"},{"location":"about/#multi-agent-deep-reinforcement-learning-for-cooperative-and-competitive-autonomous-vehicles-using-autodrive-ecosystem","title":"Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles using AutoDRIVE Ecosystem","text":"

@eprint{AutoDRIVE-MARL-2023,\ntitle = {Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles using AutoDRIVE Ecosystem}, \nauthor = {Tanmay Vilas Samak and Chinmay Vilas Samak and Venkat Krovi},\nyear = {2023},\neprint = {2309.10007},\narchivePrefix = {arXiv},\nprimaryClass = {cs.RO}\n}\n
This work has been accepted as Multi-Agent Dynamic Games (MAD-Games) Workshop paper at 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). The publication can be found on MAD-Games Workshop Website.

"},{"location":"about/#nigel-mechatronic-design-and-robust-sim2real-control-of-an-over-actuated-autonomous-vehicle","title":"Nigel - Mechatronic Design and Robust Sim2Real Control of an Over-Actuated Autonomous Vehicle","text":"

@eprint{Nigel-4WD4WS-2024,\ntitle = {Nigel -- Mechatronic Design and Robust Sim2Real Control of an Over-Actuated Autonomous Vehicle}, \nauthor = {Chinmay Vilas Samak and Tanmay Vilas Samak and Javad Mohammadpour Velni and Venkat Narayan Krovi},\nyear = {2024},\neprint = {2401.11542},\narchivePrefix = {arXiv},\nprimaryClass = {cs.RO}\n}\n
This work has been accepted in IEEE/ASME Transactions on Mechatronics (TMECH) and additionally accepted to be presented at 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). The publication can be found on IEEE Xplore.

"},{"location":"about/#towards-validation-of-autonomous-vehicles-across-scales-using-an-integrated-digital-twin-framework","title":"Towards Validation of Autonomous Vehicles Across Scales using an Integrated Digital Twin Framework","text":"

@eprint{AutoDRIVE-Autoware-2024,\ntitle = {Towards Validation of Autonomous Vehicles Across Scales using an Integrated Digital Twin Framework}, \nauthor = {Tanmay Vilas Samak and Chinmay Vilas Samak and Venkat Narayan Krovi},\nyear = {2024},\neprint = {2402.12670},\narchivePrefix = {arXiv},\nprimaryClass = {cs.RO}\n}\n
This work has been accepted at 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM).

"},{"location":"about/#a-scalable-and-parallelizable-digital-twin-framework-for-sustainable-sim2real-transition-of-multi-agent-reinforcement-learning-systems","title":"A Scalable and Parallelizable Digital Twin Framework for Sustainable Sim2Real Transition of Multi-Agent Reinforcement Learning Systems","text":"
@eprint{AutoDRIVE-DT-MARL-2024,\ntitle = {A Scalable and Parallelizable Digital Twin Framework for Sustainable Sim2Real Transition of Multi-Agent Reinforcement Learning Systems}, \nauthor = {Chinmay Vilas Samak and Tanmay Vilas Samak and Venkat Krovi},\nyear = {2024},\neprint = {2403.10996},\narchivePrefix = {arXiv},\nprimaryClass = {cs.RO}\n}\n
"},{"location":"about/#off-road-autonomy-validation-using-scalable-digital-twin-simulations-within-high-performance-computing-clusters","title":"Off-Road Autonomy Validation Using Scalable Digital Twin Simulations Within High-Performance Computing Clusters","text":"

@eprint{AutoDRIVE-HPC-RZR-2024,\ntitle = {Off-Road Autonomy Validation Using Scalable Digital Twin Simulations Within High-Performance Computing Clusters}, \nauthor = {Tanmay Vilas Samak and Chinmay Vilas Samak and Joey Binz and Jonathon Smereka and Mark Brudnak and David Gorsich and Feng Luo and Venkat Krovi},\nyear = {2024},\neprint = {2405.04743},\narchivePrefix = {arXiv},\nprimaryClass = {cs.RO}\n}\n
This work has been accepted at 2024 Ground Vehicle Systems Engineering and Technology Symposium (GVSETS). Distribution Statement A. Approved for public release; distribution is unlimited. OPSEC #8451.

"},{"location":"about/#technical-reports","title":"Technical Reports","text":"

We encourage you to read and cite the relevant technical reports if you use any part of this project for your research (these can serve as a good source of documentation as well):

"},{"location":"about/#autodrive-technical-report","title":"AutoDRIVE - Technical Report","text":"
@misc{AutoDRIVE-Technical-Report,\ndoi = {10.48550/ARXIV.2211.08475},\nurl = {https://arxiv.org/abs/2211.08475},\nauthor = {Samak, Tanmay Vilas and Samak, Chinmay Vilas},\nkeywords = {Robotics (cs.RO), FOS: Computer and information sciences, FOS: Computer and information sciences},\ntitle = {AutoDRIVE - Technical Report},\npublisher = {arXiv},\nyear = {2022},\ncopyright = {arXiv.org perpetual, non-exclusive license}\n}\n
"},{"location":"about/#autodrive-simulator-technical-report","title":"AutoDRIVE Simulator - Technical Report","text":"
@misc{AutoDRIVE-Simulator-Technical-Report,\ndoi = {10.48550/ARXIV.2211.07022},\nurl = {https://arxiv.org/abs/2211.07022},\nauthor = {Samak, Tanmay Vilas and Samak, Chinmay Vilas},\nkeywords = {Robotics (cs.RO), FOS: Computer and information sciences, FOS: Computer and information sciences},\ntitle = {AutoDRIVE Simulator - Technical Report},\npublisher = {arXiv},\nyear = {2022},\ncopyright = {arXiv.org perpetual, non-exclusive license}\n}\n
"},{"location":"about/#autonomy-oriented-digital-twins-for-real2sim2real-autoware-deployment","title":"Autonomy Oriented Digital Twins for Real2Sim2Real Autoware Deployment","text":"
@misc{AutoDRIVE-Autoware-Technical-Report,\ndoi = {10.48550/arXiv.2402.14739},\nurl = {https://doi.org/10.48550/arXiv.2402.14739},\nauthor = {Chinmay Vilas Samak and Tanmay Vilas Samak},\ntitle = {Autonomy Oriented Digital Twins for Real2Sim2Real Autoware Deployment},\nyear = {2024},\neprint = {2402.14739},\narchivePrefix = {arXiv},\nprimaryClass = {cs.RO}\ncopyright = {arXiv.org perpetual, non-exclusive license}\n}\n
"},{"location":"about/#team","title":"Team","text":""},{"location":"about/#developers","title":"Developers","text":"Tanmay Vilas Samak Chinmay Vilas Samak"},{"location":"about/#contributors","title":"Contributors","text":"Rohit Ravikumar Parth Shinde Joey Binz Giovanni Martino"},{"location":"about/#mentors","title":"Mentors","text":"Dr. Venkat Krovi Dr. Sivanathan Kandhasamy Dr. Ming Xie"},{"location":"about/#institutions","title":"Institutions","text":"CU-ICAR SRM-IST NTU"},{"location":"blog/","title":"Blog","text":""},{"location":"competitions/","title":"COMPETITIONS","text":""},{"location":"competitions/f1tenth-sim-racing-cdc-2024/","title":"F1TENTH Sim Racing League @ CDC 2024","text":""},{"location":"competitions/f1tenth-sim-racing-cdc-2024/#about","title":"About","text":"

F1TENTH Autonomous Racing is a semi-regular competition organized by an international community of researchers, engineers, and autonomous systems enthusiasts. The teams participating in the 22nd F1TENTH Autonomous Grand Prix at CDC 2024 will write software for a 1:10 scaled autonomous racecar to fulfill the objectives of the competition: drive fast but don\u2019t crash!

This time, we are organizing the second F1TENTH Sim Racing League, which leverages AutoDRIVE Ecosystem to model and simulate the digital twin of an F1TENTH racecar within a virtual racetrack. Please see the accompanying video for a glimpse of the F1TENTH digital twins in action.

The main focus of the Sim Racing League is a virtual competition with simulated cars and environments, which is accessible to everyone across the globe. For the CDC 2024 competition, each team will be provided with a standardized simulation setup (in the form of a digital twin of the F1TENTH vehicle, and a digital twin of the Porto racetrack) within the high-fidelity AutoDRIVE Simulator. Additionally, teams will also be provided with a working implementation of the AutoDRIVE Devkit to get started with developing their autonomy algorithms. Teams will have to develop perception, planning, and control algorithms to parse the real-time sensor data streamed from the simulator and generate control commands to be fed back to the simulated vehicle.

The competition will take place in 2 stages:

Since the vehicle, the sensors, the simulator, and the devkit are standardized, teams must develop robust racing algorithms that can deal with the uncertainties of an unseen racetrack.

Tip

If you are interested in autonomously racing physical F1TENTH vehicles, please check out the website for 22nd F1TENTH Autonomous Grand Prix, which will be held in person at CDC 2024. You can always register and compete in both physical and virtual competitions!

"},{"location":"competitions/f1tenth-sim-racing-cdc-2024/#organizers","title":"Organizers","text":"Dr. Rahul Mangharam Dr. Venkat Krovi Dr. Johannes Betz Chinmay Samak Tanmay Samak Ahmad Amine Dr. Paolo Burgio Dr. Maria Prandini Dr. Martina Maggio Dr. Alessio Masola Dr. Filippo Muzzini Dr. Federico Gavioli Antonio Russo Enrico Mannocci"},{"location":"competitions/f1tenth-sim-racing-cdc-2024/#timeline","title":"Timeline","text":"

Warning

Timeline is subject to change. Please keep checking this page for any updates.

DATE EVENT Aug 01, 2024 Registration Opens Oct 30, 2024 Registration Closes Oct 22, 2024 Online Orientation 1 Nov 19, 2024 Online Orientation 2 Nov 30 \u2013 Dec 01, 2024 Qualification Round Dec 06, 2024 Competition Track Released Dec 07 \u2013 Dec 08, 2024 Final Race Dec 09, 2024 Results Declared

Following is a brief summary of each event:

Note

The F1TENTH Sim Racing League will be held approximately 1 week ahead of CDC 2024 and the performance metrics will be made available to the teams. Discussions are underway with the CDC organizing team to allow teams to analyze and present their approach/results in a short (~10 min) presentation in a special session at CDC 2024.

"},{"location":"competitions/f1tenth-sim-racing-cdc-2024/#resources","title":"Resources","text":"

AutoDRIVE is envisioned to be an open, comprehensive, flexible and integrated cyber-physical ecosystem for enhancing autonomous driving research and education. It bridges the gap between software simulation and hardware deployment by providing the AutoDRIVE Simulator and AutoDRIVE Testbed, a well-suited duo for real2sim and sim2real transfer targetting vehicles and environments of varying scales and operational design domains. It also offers AutoDRIVE Devkit, a developer's kit for rapid and flexible development of autonomy algorithms using a variety of programming languages and software frameworks. For the Sim Racing League, teams will develop their autonomous racing algorithms using the AutoDRIVE Devkit to interface with the AutoDRIVE Simulator in real-time.

F1TENTH is an international community of researchers, engineers, and autonomous systems enthusiasts. It is centered around the idea of converting a 1:10 scale RC car into an autonomous vehicle for research and education; check out the documentation to build your own F1TENTH autonomous racecar. Additionally, if you are new to the field of autonomous racing, you can refer to the complete course material, which is open sourced. If you already have some experience with autonomous racing, feel free to delve deeper into the research enabled by F1TENTH. Lastly, you can also check out the physical F1TENTH races that are being organized all around the world. For the Sim Racing League, teams will not require a physical F1TENTH vehicle; however, the learning resources can certainly be useful to get your autonomous racing fundamentals right!

As the next few steps, we recommend all the teams interested in particiating in the F1TENTH Sim Racing League to get accustomed with the competition framework:

Download AutoDRIVE Simulator Container Download AutoDRIVE Devkit Container"},{"location":"competitions/f1tenth-sim-racing-cdc-2024/#registration","title":"Registration","text":"

This competition is open for everyone around the world - students, researchers, hobbyists, professionals, or anyone else who is interested. A team can consist of multiple teammates. Teams with only one person are also allowed.

Registration Opens on Aug 01, 2024

Registration for the Sim Racing League is free of cost and seperate from the Physical Racing League and the conference registrations themselves. The above form signs you up only for the Sim Racing League, and for its orientation and information sessions. Although you can participate in the Sim Racing League without attending the conference, we strongly encourage all competition participants to attent the conference in person. This will help you connect with the broader AutoDRIVE and F1TENTH communities, and you can also witness/participate in the physical F1TENTH autonomous racing competition!

Registered teams are added to the following table:

TEAM NAME TEAM MEMBERS ORGANIZATION"},{"location":"competitions/f1tenth-sim-racing-cdc-2024/#results","title":"Results","text":"

To be announced on Dec 09, 2024.

"},{"location":"competitions/f1tenth-sim-racing-iros-2024/","title":"F1TENTH Sim Racing League @ IROS 2024","text":""},{"location":"competitions/f1tenth-sim-racing-iros-2024/#about","title":"About","text":"

F1TENTH Autonomous Racing is a semi-regular competition organized by an international community of researchers, engineers, and autonomous systems enthusiasts. The teams participating in the 21st F1TENTH Autonomous Grand Prix at IROS 2024 will write software for a 1:10 scaled autonomous race car to fulfill the objectives for the competition: drive fast but don\u2019t crash!

This time, we are organizing the first ever F1TENTH Sim Racing League, which leverages AutoDRIVE Ecosystem to model and simulate the digital twin of an F1TENTH racecar within a virtual racetrack. Please see the accompanying video for a glimpse of the F1TENTH digital twins in action.

The main focus of the Sim Racing League is a virtual competition with simulated cars and environments, which is accessible to everyone across the globe. For the IROS 2024 competition, each team will be provided with a standardized simulation setup (in the form of a digital twin of the F1TENTH vehicle, and a digital twin of the Porto racetrack) within the high-fidelity AutoDRIVE Simulator. Additionally, teams will also be provided with a working implementation of the AutoDRIVE Devkit to get started with developing their autonomy algorithms. Teams will have to develop perception, planning, and control algorithms to parse the real-time sensor data streamed from the simulator and generate control commands to be fed back to the simulated vehicle.

The competition will take place in 2 stages:

Since the vehicle, the sensors, the simulator, and the devkit are standardized, teams must develop robust racing algorithms that can deal with the uncertainties of an unseen racetrack.

Tip

If you are interested in autonomously racing physical F1TENTH vehicles, please check out the website for 21st F1TENTH Autonomous Grand Prix, which will be held in person at IROS 2024. You can always register and compete in both physical and virtual competitions!

"},{"location":"competitions/f1tenth-sim-racing-iros-2024/#organizers","title":"Organizers","text":"Dr. Rahul Mangharam Dr. Venkat Krovi Dr. Johannes Betz Chinmay Samak Tanmay Samak Ahmad Amine Hongrui Zheng Dr. Fabio Bonsignorio Dr. Enrica Zereik Dr. Bilal Hassan Bushra Alshehhi Dr. Fady Alnajjar Dr. Majid Khonji Dr. Hamad Karaki Dr. Pedro Lima"},{"location":"competitions/f1tenth-sim-racing-iros-2024/#timeline","title":"Timeline","text":"

Warning

Timeline is subject to change. Please keep checking this page for any updates.

DATE EVENT Jul 22, 2024 Registration Opens Aug 31, 2024 Registration Closes Aug 20, 2024 Online Orientation 1 Sep 17, 2024 Online Orientation 2 Sep 28 \u2013 Sep 29, 2024 Qualification Round Sep 04, 2024 Competition Track Released Oct 05 \u2013 Oct 06, 2024 Final Race Oct 07, 2024 Results Declared

Following is a brief summary of each event:

Note

The F1TENTH Sim Racing League will be held approximately 1 week ahead of IROS 2024 and the performance metrics will be made available to the teams. Discussions are underway with the IROS organizing team to allow teams to analyze and present their approach/results in a short (~10 min) presentation in a special session at IROS 2024.

"},{"location":"competitions/f1tenth-sim-racing-iros-2024/#resources","title":"Resources","text":"

AutoDRIVE is envisioned to be an open, comprehensive, flexible and integrated cyber-physical ecosystem for enhancing autonomous driving research and education. It bridges the gap between software simulation and hardware deployment by providing the AutoDRIVE Simulator and AutoDRIVE Testbed, a well-suited duo for real2sim and sim2real transfer targetting vehicles and environments of varying scales and operational design domains. It also offers AutoDRIVE Devkit, a developer's kit for rapid and flexible development of autonomy algorithms using a variety of programming languages and software frameworks. For the Sim Racing League, teams will develop their autonomous racing algorithms using the AutoDRIVE Devkit to interface with the AutoDRIVE Simulator in real-time.

F1TENTH is an international community of researchers, engineers, and autonomous systems enthusiasts. It is centered around the idea of converting a 1:10 scale RC car into an autonomous vehicle for research and education; check out the documentation to build your own F1TENTH autonomous racecar. Additionally, if you are new to the field of autonomous racing, you can refer to the complete course material, which is open sourced. If you already have some experience with autonomous racing, feel free to delve deeper into the research enabled by F1TENTH. Lastly, you can also check out the physical F1TENTH races that are being organized all around the world. For the Sim Racing League, teams will not require a physical F1TENTH vehicle; however, the learning resources can certainly be useful to get your autonomous racing fundamentals right!

As the next few steps, we recommend all the teams interested in particiating in the F1TENTH Sim Racing League to get accustomed with the competition framework:

Download AutoDRIVE Simulator Container Download AutoDRIVE Devkit Container"},{"location":"competitions/f1tenth-sim-racing-iros-2024/#registration","title":"Registration","text":"

This competition is open for everyone around the world - students, researchers, hobbyists, professionals, or anyone else who is interested. A team can consist of multiple teammates. Teams with only one person are also allowed.

Registration Form

Registration for the Sim Racing League is free of cost and seperate from the Physical Racing League and the conference registrations themselves. The above form signs you up only for the Sim Racing League, and for its orientation and information sessions. Although you can participate in the Sim Racing League without attending the conference, we strongly encourage all competition participants to attent the conference in person. This will help you connect with the broader AutoDRIVE and F1TENTH communities, and you can also witness/participate in the physical F1TENTH autonomous racing competition!

Registered teams are added to the following table:

TEAM NAME TEAM MEMBERS ORGANIZATION"},{"location":"competitions/f1tenth-sim-racing-iros-2024/#results","title":"Results","text":"

To be announced on Oct 07, 2024.

"}]} \ No newline at end of file +{"config":{"lang":["en"],"separator":"[\\s\\u200b\\-_,:!=\\[\\]()\"`/]+|\\.(?!\\d)|&[lg]t;|(?!\\b)(?=[A-Z][a-z])","pipeline":["stopWordFilter"]},"docs":[{"location":"about/","title":"ABOUT","text":""},{"location":"about/#project-overview","title":"Project Overview","text":"

AutoDRIVE is envisioned to be an integrated platform for autonomous driving research and education. It bridges the gap between software simulation and hardware deployment by providing the AutoDRIVE Simulator and AutoDRIVE Testbed, a well-suited duo for sim2real applications. It also offers AutoDRIVE Devkit, a developer's kit for rapid and flexible development of autonomy algorithms. Although the platform is primarily targeted towards autonomous driving, it also supports the development of smart-city solutions for managing the traffic flow.

"},{"location":"about/#autodrive-testbed","title":"AutoDRIVE Testbed","text":"Vehicle Infrastructure

AutoDRIVE Testbed is the hardware setup comprising of a scaled vehicle model (called Nigel) and a modular infrastructure development kit. The vehicle is equipped with a comprehensive sensor suite for redundant perception, a set of actuators for constrained motion control and a fully functional lighting system for illumination and signaling. It can be teleoperated (in manual mode) or self-driven (in autonomous mode). The infrastructure development kit comprises of various environment modules along with active and passive traffic elements.

"},{"location":"about/#autodrive-simulator","title":"AutoDRIVE Simulator","text":"Vehicle Infrastructure

AutoDRIVE Simulator is the digital twin of the AutoDRIVE Testbed, which enables the users to virtually prototype their algorithms either due to hardware limitations or as a part of the reiterative development cycle. It is developed atop the Unity game engine and offers a WebSocket interface for bilateral communication with the autonomy algorithms developed independently using the AutoDRIVE Devkit. The standalone simulator application is targeted at Full HD resolution (1920x1080p) with cross-platform support (Windows, macOS and Linux). It is a light-weight software application that utilizes system resources wisely. This enables deployment of the simulator application and autonomy algorithms on a single machine; nonetheless, distributed computing is also supported.

"},{"location":"about/#autodrive-devkit","title":"AutoDRIVE Devkit","text":"ADSS Toolkit SCSS Toolkit

AutoDRIVE Devkit is a developer's kit that enables the users to exploit AutoDRIVE Simulator or AutoDRIVE Testbed for rapid and flexible development of autonomy algorithms pertaining to autonomous driving (using ADSS Toolkit) as well as smart city management (using SCSS Toolkit). It supports local (decentralized) as well as distributed (centralized) computing and is compatible with Robot Operating System (ROS), while also offering a direct scripting support for Python and C++.

"},{"location":"about/#awards-and-recognition","title":"Awards and Recognition","text":""},{"location":"about/#resources","title":"Resources","text":""},{"location":"about/#highlights","title":"Highlights","text":"

We encourage you to take a look at the following quick highlights to keep up with the recent advances in AutoDRIVE Ecosystem.

AutoDRIVE Ecosystem Pitch Video AutoDRIVE Simulator Pitch Video AutoDRIVE Testbed Pitch Video Nigel 4WD4WS Feature Video F1TENTH in AutoDRIVE Simulator OpenCAV in AutoDRIVE Simulator RZR in AutoDRIVE Simulator Parallel RL using AutoDRIVE Simulator Deformable Terrain in AutoDRIVE Simulator Variability Testing using Nigel Variability Testing using OpenCAV"},{"location":"about/#demonstrations","title":"Demonstrations","text":"

We encourage you to take a look at the following research projects developed using the AutoDRIVE Ecosystem.

Autonomous Parking Behavioural Cloning Intersection Traversal Smart City Management"},{"location":"about/#presentations","title":"Presentations","text":"

We encourage you to take a look at the following presentations to gain a better insight into the AutoDRIVE Ecosystem.

SRMIST UG Final Year Project Viva Voce CCRIS 2021 Virtual Presentation AutoDRIVE Technical Discussion @ ARMLab CU-ICAR Autoware COE Seminar AIM 2023 Video Presentation OpenCAV Technical Discussion @ ARMLab CU-ICAR OpenCAV CUICAR AuE Seminar SMRDC 2023 Finalist Pitch MECC 2023 Video Pesentation IROS 2023 Presentation"},{"location":"about/#publications","title":"Publications","text":"

We encourage you to read and cite the relevant papers if you use any part of this project for your research:

"},{"location":"about/#autodrive-a-comprehensive-flexible-and-integrated-digital-twin-ecosystem-for-enhancing-autonomous-driving-research-and-education","title":"AutoDRIVE: A Comprehensive, Flexible and Integrated Digital Twin Ecosystem for Enhancing Autonomous Driving Research and Education","text":"

@article{AutoDRIVE-Ecosystem-2023,\nauthor = {Samak, Tanmay and Samak, Chinmay and Kandhasamy, Sivanathan and Krovi, Venkat and Xie, Ming},\ntitle = {AutoDRIVE: A Comprehensive, Flexible and Integrated Digital Twin Ecosystem for Autonomous Driving Research &amp; Education},\njournal = {Robotics},\nvolume = {12},\nyear = {2023},\nnumber = {3},\narticle-number = {77},\nurl = {https://www.mdpi.com/2218-6581/12/3/77},\nissn = {2218-6581},\ndoi = {10.3390/robotics12030077}\n}\n
This work has been published in MDPI Robotics. The open-access publication can be found on MDPI.

"},{"location":"about/#autodrive-simulator-a-simulator-for-scaled-autonomous-vehicle-research-and-education","title":"AutoDRIVE Simulator: A Simulator for Scaled Autonomous Vehicle Research and Education","text":"

@inproceedings{AutoDRIVE-Simulator-2021,\nauthor = {Samak, Tanmay Vilas and Samak, Chinmay Vilas and Xie, Ming},\ntitle = {AutoDRIVE Simulator: A Simulator for Scaled Autonomous Vehicle Research and Education},\nyear = {2021},\nisbn = {9781450390453},\npublisher = {Association for Computing Machinery},\naddress = {New York, NY, USA},\nurl = {https://doi.org/10.1145/3483845.3483846},\ndoi = {10.1145/3483845.3483846},\nbooktitle = {2021 2nd International Conference on Control, Robotics and Intelligent System},\npages = {1\u20135},\nnumpages = {5},\nlocation = {Qingdao, China},\nseries = {CCRIS'21}\n}\n
This work has been published at 2021 International Conference on Control, Robotics and Intelligent System (CCRIS). The publication can be found on ACM Digital Library.

"},{"location":"about/#towards-mechatronics-approach-of-system-design-verification-and-validation-for-autonomous-vehicles","title":"Towards Mechatronics Approach of System Design, Verification and Validation for Autonomous Vehicles","text":"

@inproceedings{AutoDRIVE-Mechatronics-2023,\nauthor = {Samak, Chinmay and Samak, Tanmay and Krovi, Venkat},\nbooktitle = {2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)}, \ntitle = {Towards Mechatronics Approach of System Design, Verification and Validation for Autonomous Vehicles}, \nyear = {2023},\nvolume = {},\nnumber = {},\npages = {1208-1213},\ndoi = {10.1109/AIM46323.2023.10196233},\nurl = {https://doi.org/10.1109/AIM46323.2023.10196233}\n}\n
This work has been published at 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). The publication can be found on IEEE Xplore.

"},{"location":"about/#towards-sim2real-transfer-of-autonomy-algorithms-using-autodrive-ecosystem","title":"Towards Sim2Real Transfer of Autonomy Algorithms using AutoDRIVE Ecosystem","text":"

@eprint{AutoDRIVE-Sim2Real-2023,\ntitle = {Towards Sim2Real Transfer of Autonomy Algorithms using AutoDRIVE Ecosystem}, \nauthor = {Chinmay Vilas Samak and Tanmay Vilas Samak and Venkat Krovi},\nyear = {2023},\neprint ={2307.13272},\narchivePrefix = {arXiv},\nprimaryClass = {cs.RO}\n}\n
This work has been accepted at 2023 AACC/IFAC Modeling, Estimation and Control Conference (MECC). The open-access publication can be found on ScienceDirect.

"},{"location":"about/#multi-agent-deep-reinforcement-learning-for-cooperative-and-competitive-autonomous-vehicles-using-autodrive-ecosystem","title":"Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles using AutoDRIVE Ecosystem","text":"

@eprint{AutoDRIVE-MARL-2023,\ntitle = {Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles using AutoDRIVE Ecosystem}, \nauthor = {Tanmay Vilas Samak and Chinmay Vilas Samak and Venkat Krovi},\nyear = {2023},\neprint = {2309.10007},\narchivePrefix = {arXiv},\nprimaryClass = {cs.RO}\n}\n
This work has been accepted as Multi-Agent Dynamic Games (MAD-Games) Workshop paper at 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). The publication can be found on MAD-Games Workshop Website.

"},{"location":"about/#nigel-mechatronic-design-and-robust-sim2real-control-of-an-over-actuated-autonomous-vehicle","title":"Nigel - Mechatronic Design and Robust Sim2Real Control of an Over-Actuated Autonomous Vehicle","text":"

@eprint{Nigel-4WD4WS-2024,\ntitle = {Nigel -- Mechatronic Design and Robust Sim2Real Control of an Over-Actuated Autonomous Vehicle}, \nauthor = {Chinmay Vilas Samak and Tanmay Vilas Samak and Javad Mohammadpour Velni and Venkat Narayan Krovi},\nyear = {2024},\neprint = {2401.11542},\narchivePrefix = {arXiv},\nprimaryClass = {cs.RO}\n}\n
This work has been accepted in IEEE/ASME Transactions on Mechatronics (TMECH) and additionally accepted to be presented at 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). The publication can be found on IEEE Xplore.

"},{"location":"about/#towards-validation-of-autonomous-vehicles-across-scales-using-an-integrated-digital-twin-framework","title":"Towards Validation of Autonomous Vehicles Across Scales using an Integrated Digital Twin Framework","text":"

@eprint{AutoDRIVE-Autoware-2024,\ntitle = {Towards Validation of Autonomous Vehicles Across Scales using an Integrated Digital Twin Framework}, \nauthor = {Tanmay Vilas Samak and Chinmay Vilas Samak and Venkat Narayan Krovi},\nyear = {2024},\neprint = {2402.12670},\narchivePrefix = {arXiv},\nprimaryClass = {cs.RO}\n}\n
This work has been accepted at 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM).

"},{"location":"about/#a-scalable-and-parallelizable-digital-twin-framework-for-sustainable-sim2real-transition-of-multi-agent-reinforcement-learning-systems","title":"A Scalable and Parallelizable Digital Twin Framework for Sustainable Sim2Real Transition of Multi-Agent Reinforcement Learning Systems","text":"
@eprint{AutoDRIVE-DT-MARL-2024,\ntitle = {A Scalable and Parallelizable Digital Twin Framework for Sustainable Sim2Real Transition of Multi-Agent Reinforcement Learning Systems}, \nauthor = {Chinmay Vilas Samak and Tanmay Vilas Samak and Venkat Krovi},\nyear = {2024},\neprint = {2403.10996},\narchivePrefix = {arXiv},\nprimaryClass = {cs.RO}\n}\n
"},{"location":"about/#off-road-autonomy-validation-using-scalable-digital-twin-simulations-within-high-performance-computing-clusters","title":"Off-Road Autonomy Validation Using Scalable Digital Twin Simulations Within High-Performance Computing Clusters","text":"

@eprint{AutoDRIVE-HPC-RZR-2024,\ntitle = {Off-Road Autonomy Validation Using Scalable Digital Twin Simulations Within High-Performance Computing Clusters}, \nauthor = {Tanmay Vilas Samak and Chinmay Vilas Samak and Joey Binz and Jonathon Smereka and Mark Brudnak and David Gorsich and Feng Luo and Venkat Krovi},\nyear = {2024},\neprint = {2405.04743},\narchivePrefix = {arXiv},\nprimaryClass = {cs.RO}\n}\n
This work has been accepted at 2024 Ground Vehicle Systems Engineering and Technology Symposium (GVSETS). Distribution Statement A. Approved for public release; distribution is unlimited. OPSEC #8451.

"},{"location":"about/#technical-reports","title":"Technical Reports","text":"

We encourage you to read and cite the relevant technical reports if you use any part of this project for your research (these can serve as a good source of documentation as well):

"},{"location":"about/#autodrive-technical-report","title":"AutoDRIVE - Technical Report","text":"
@misc{AutoDRIVE-Technical-Report,\ndoi = {10.48550/ARXIV.2211.08475},\nurl = {https://arxiv.org/abs/2211.08475},\nauthor = {Samak, Tanmay Vilas and Samak, Chinmay Vilas},\nkeywords = {Robotics (cs.RO), FOS: Computer and information sciences, FOS: Computer and information sciences},\ntitle = {AutoDRIVE - Technical Report},\npublisher = {arXiv},\nyear = {2022},\ncopyright = {arXiv.org perpetual, non-exclusive license}\n}\n
"},{"location":"about/#autodrive-simulator-technical-report","title":"AutoDRIVE Simulator - Technical Report","text":"
@misc{AutoDRIVE-Simulator-Technical-Report,\ndoi = {10.48550/ARXIV.2211.07022},\nurl = {https://arxiv.org/abs/2211.07022},\nauthor = {Samak, Tanmay Vilas and Samak, Chinmay Vilas},\nkeywords = {Robotics (cs.RO), FOS: Computer and information sciences, FOS: Computer and information sciences},\ntitle = {AutoDRIVE Simulator - Technical Report},\npublisher = {arXiv},\nyear = {2022},\ncopyright = {arXiv.org perpetual, non-exclusive license}\n}\n
"},{"location":"about/#autonomy-oriented-digital-twins-for-real2sim2real-autoware-deployment","title":"Autonomy Oriented Digital Twins for Real2Sim2Real Autoware Deployment","text":"
@misc{AutoDRIVE-Autoware-Technical-Report,\ndoi = {10.48550/arXiv.2402.14739},\nurl = {https://doi.org/10.48550/arXiv.2402.14739},\nauthor = {Chinmay Vilas Samak and Tanmay Vilas Samak},\ntitle = {Autonomy Oriented Digital Twins for Real2Sim2Real Autoware Deployment},\nyear = {2024},\neprint = {2402.14739},\narchivePrefix = {arXiv},\nprimaryClass = {cs.RO}\ncopyright = {arXiv.org perpetual, non-exclusive license}\n}\n
"},{"location":"about/#team","title":"Team","text":""},{"location":"about/#developers","title":"Developers","text":"Tanmay Vilas Samak Chinmay Vilas Samak"},{"location":"about/#contributors","title":"Contributors","text":"Rohit Ravikumar Parth Shinde Joey Binz Giovanni Martino"},{"location":"about/#mentors","title":"Mentors","text":"Dr. Venkat Krovi Dr. Sivanathan Kandhasamy Dr. Ming Xie"},{"location":"about/#institutions","title":"Institutions","text":"CU-ICAR SRM-IST NTU"},{"location":"blog/","title":"Blog","text":""},{"location":"competitions/","title":"COMPETITIONS","text":""},{"location":"competitions/f1tenth-sim-racing-cdc-2024/","title":"F1TENTH Sim Racing League @ CDC 2024","text":""},{"location":"competitions/f1tenth-sim-racing-cdc-2024/#about","title":"About","text":"

F1TENTH Autonomous Racing is a semi-regular competition organized by an international community of researchers, engineers, and autonomous systems enthusiasts. The teams participating in the 22nd F1TENTH Autonomous Grand Prix at CDC 2024 will write software for a 1:10 scaled autonomous racecar to fulfill the objectives of the competition: drive fast but don\u2019t crash!

This time, we are organizing the second F1TENTH Sim Racing League, which leverages AutoDRIVE Ecosystem to model and simulate the digital twin of an F1TENTH racecar within a virtual racetrack. Please see the accompanying video for a glimpse of the F1TENTH digital twins in action.

The main focus of the Sim Racing League is a virtual competition with simulated cars and environments, which is accessible to everyone across the globe. For the CDC 2024 competition, each team will be provided with a standardized simulation setup (in the form of a digital twin of the F1TENTH vehicle, and a digital twin of the Porto racetrack) within the high-fidelity AutoDRIVE Simulator. Additionally, teams will also be provided with a working implementation of the AutoDRIVE Devkit to get started with developing their autonomy algorithms. Teams will have to develop perception, planning, and control algorithms to parse the real-time sensor data streamed from the simulator and generate control commands to be fed back to the simulated vehicle.

The competition will take place in 2 stages:

Since the vehicle, the sensors, the simulator, and the devkit are standardized, teams must develop robust racing algorithms that can deal with the uncertainties of an unseen racetrack.

Tip

If you are interested in autonomously racing physical F1TENTH vehicles, please check out the website for 22nd F1TENTH Autonomous Grand Prix, which will be held in person at CDC 2024. You can always register and compete in both physical and virtual competitions!

"},{"location":"competitions/f1tenth-sim-racing-cdc-2024/#organizers","title":"Organizers","text":"Dr. Rahul Mangharam Dr. Venkat Krovi Dr. Johannes Betz Chinmay Samak Tanmay Samak Ahmad Amine Dr. Paolo Burgio Dr. Maria Prandini Dr. Martina Maggio Dr. Alessio Masola Dr. Filippo Muzzini Dr. Federico Gavioli Antonio Russo Enrico Mannocci"},{"location":"competitions/f1tenth-sim-racing-cdc-2024/#timeline","title":"Timeline","text":"

Warning

Timeline is subject to change. Please keep checking this page for any updates.

DATE EVENT Aug 01, 2024 Registration Opens Oct 30, 2024 Registration Closes Oct 22, 2024 Online Orientation 1 Nov 19, 2024 Online Orientation 2 Nov 30 \u2013 Dec 01, 2024 Qualification Round Dec 06, 2024 Competition Track Released Dec 07 \u2013 Dec 08, 2024 Final Race Dec 09, 2024 Results Declared

Following is a brief summary of each event:

Note

The F1TENTH Sim Racing League will be held approximately 1 week ahead of CDC 2024 and the performance metrics will be made available to the teams. Discussions are underway with the CDC organizing team to allow teams to analyze and present their approach/results in a short (~10 min) presentation in a special session at CDC 2024.

"},{"location":"competitions/f1tenth-sim-racing-cdc-2024/#resources","title":"Resources","text":"

AutoDRIVE is envisioned to be an open, comprehensive, flexible and integrated cyber-physical ecosystem for enhancing autonomous driving research and education. It bridges the gap between software simulation and hardware deployment by providing the AutoDRIVE Simulator and AutoDRIVE Testbed, a well-suited duo for real2sim and sim2real transfer targetting vehicles and environments of varying scales and operational design domains. It also offers AutoDRIVE Devkit, a developer's kit for rapid and flexible development of autonomy algorithms using a variety of programming languages and software frameworks. For the Sim Racing League, teams will develop their autonomous racing algorithms using the AutoDRIVE Devkit to interface with the AutoDRIVE Simulator in real-time.

F1TENTH is an international community of researchers, engineers, and autonomous systems enthusiasts. It is centered around the idea of converting a 1:10 scale RC car into an autonomous vehicle for research and education; check out the documentation to build your own F1TENTH autonomous racecar. Additionally, if you are new to the field of autonomous racing, you can refer to the complete course material, which is open sourced. If you already have some experience with autonomous racing, feel free to delve deeper into the research enabled by F1TENTH. Lastly, you can also check out the physical F1TENTH races that are being organized all around the world. For the Sim Racing League, teams will not require a physical F1TENTH vehicle; however, the learning resources can certainly be useful to get your autonomous racing fundamentals right!

As the next few steps, we recommend all the teams interested in particiating in the F1TENTH Sim Racing League to get accustomed with the competition framework:

Download AutoDRIVE Simulator Container Download AutoDRIVE Devkit Container"},{"location":"competitions/f1tenth-sim-racing-cdc-2024/#registration","title":"Registration","text":"

This competition is open for everyone around the world - students, researchers, hobbyists, professionals, or anyone else who is interested. A team can consist of multiple teammates. Teams with only one person are also allowed.

Registration Form

Registration for the Sim Racing League is free of cost and seperate from the Physical Racing League and the conference registrations themselves. The above form signs you up only for the Sim Racing League, and for its orientation and information sessions. Although you can participate in the Sim Racing League without attending the conference, we strongly encourage all competition participants to attent the conference in person. This will help you connect with the broader AutoDRIVE and F1TENTH communities, and you can also witness/participate in the physical F1TENTH autonomous racing competition!

Registered teams are added to the following table:

TEAM NAME TEAM MEMBERS ORGANIZATION"},{"location":"competitions/f1tenth-sim-racing-cdc-2024/#results","title":"Results","text":"

To be announced on Dec 09, 2024.

"},{"location":"competitions/f1tenth-sim-racing-iros-2024/","title":"F1TENTH Sim Racing League @ IROS 2024","text":""},{"location":"competitions/f1tenth-sim-racing-iros-2024/#about","title":"About","text":"

F1TENTH Autonomous Racing is a semi-regular competition organized by an international community of researchers, engineers, and autonomous systems enthusiasts. The teams participating in the 21st F1TENTH Autonomous Grand Prix at IROS 2024 will write software for a 1:10 scaled autonomous race car to fulfill the objectives for the competition: drive fast but don\u2019t crash!

This time, we are organizing the first ever F1TENTH Sim Racing League, which leverages AutoDRIVE Ecosystem to model and simulate the digital twin of an F1TENTH racecar within a virtual racetrack. Please see the accompanying video for a glimpse of the F1TENTH digital twins in action.

The main focus of the Sim Racing League is a virtual competition with simulated cars and environments, which is accessible to everyone across the globe. For the IROS 2024 competition, each team will be provided with a standardized simulation setup (in the form of a digital twin of the F1TENTH vehicle, and a digital twin of the Porto racetrack) within the high-fidelity AutoDRIVE Simulator. Additionally, teams will also be provided with a working implementation of the AutoDRIVE Devkit to get started with developing their autonomy algorithms. Teams will have to develop perception, planning, and control algorithms to parse the real-time sensor data streamed from the simulator and generate control commands to be fed back to the simulated vehicle.

The competition will take place in 2 stages:

Since the vehicle, the sensors, the simulator, and the devkit are standardized, teams must develop robust racing algorithms that can deal with the uncertainties of an unseen racetrack.

Tip

If you are interested in autonomously racing physical F1TENTH vehicles, please check out the website for 21st F1TENTH Autonomous Grand Prix, which will be held in person at IROS 2024. You can always register and compete in both physical and virtual competitions!

"},{"location":"competitions/f1tenth-sim-racing-iros-2024/#organizers","title":"Organizers","text":"Dr. Rahul Mangharam Dr. Venkat Krovi Dr. Johannes Betz Chinmay Samak Tanmay Samak Ahmad Amine Hongrui Zheng Dr. Fabio Bonsignorio Dr. Enrica Zereik Dr. Bilal Hassan Bushra Alshehhi Dr. Fady Alnajjar Dr. Majid Khonji Dr. Hamad Karaki Dr. Pedro Lima"},{"location":"competitions/f1tenth-sim-racing-iros-2024/#timeline","title":"Timeline","text":"

Warning

Timeline is subject to change. Please keep checking this page for any updates.

DATE EVENT Jul 22, 2024 Registration Opens Aug 31, 2024 Registration Closes Aug 20, 2024 Online Orientation 1 Sep 17, 2024 Online Orientation 2 Sep 28 \u2013 Sep 29, 2024 Qualification Round Sep 04, 2024 Competition Track Released Oct 05 \u2013 Oct 06, 2024 Final Race Oct 07, 2024 Results Declared

Following is a brief summary of each event:

Note

The F1TENTH Sim Racing League will be held approximately 1 week ahead of IROS 2024 and the performance metrics will be made available to the teams. Discussions are underway with the IROS organizing team to allow teams to analyze and present their approach/results in a short (~10 min) presentation in a special session at IROS 2024.

"},{"location":"competitions/f1tenth-sim-racing-iros-2024/#resources","title":"Resources","text":"

AutoDRIVE is envisioned to be an open, comprehensive, flexible and integrated cyber-physical ecosystem for enhancing autonomous driving research and education. It bridges the gap between software simulation and hardware deployment by providing the AutoDRIVE Simulator and AutoDRIVE Testbed, a well-suited duo for real2sim and sim2real transfer targetting vehicles and environments of varying scales and operational design domains. It also offers AutoDRIVE Devkit, a developer's kit for rapid and flexible development of autonomy algorithms using a variety of programming languages and software frameworks. For the Sim Racing League, teams will develop their autonomous racing algorithms using the AutoDRIVE Devkit to interface with the AutoDRIVE Simulator in real-time.

F1TENTH is an international community of researchers, engineers, and autonomous systems enthusiasts. It is centered around the idea of converting a 1:10 scale RC car into an autonomous vehicle for research and education; check out the documentation to build your own F1TENTH autonomous racecar. Additionally, if you are new to the field of autonomous racing, you can refer to the complete course material, which is open sourced. If you already have some experience with autonomous racing, feel free to delve deeper into the research enabled by F1TENTH. Lastly, you can also check out the physical F1TENTH races that are being organized all around the world. For the Sim Racing League, teams will not require a physical F1TENTH vehicle; however, the learning resources can certainly be useful to get your autonomous racing fundamentals right!

As the next few steps, we recommend all the teams interested in particiating in the F1TENTH Sim Racing League to get accustomed with the competition framework:

Download AutoDRIVE Simulator Container Download AutoDRIVE Devkit Container"},{"location":"competitions/f1tenth-sim-racing-iros-2024/#registration","title":"Registration","text":"

This competition is open for everyone around the world - students, researchers, hobbyists, professionals, or anyone else who is interested. A team can consist of multiple teammates. Teams with only one person are also allowed.

Registration Form

Registration for the Sim Racing League is free of cost and seperate from the Physical Racing League and the conference registrations themselves. The above form signs you up only for the Sim Racing League, and for its orientation and information sessions. Although you can participate in the Sim Racing League without attending the conference, we strongly encourage all competition participants to attent the conference in person. This will help you connect with the broader AutoDRIVE and F1TENTH communities, and you can also witness/participate in the physical F1TENTH autonomous racing competition!

Registered teams are added to the following table:

TEAM NAME TEAM MEMBERS ORGANIZATION"},{"location":"competitions/f1tenth-sim-racing-iros-2024/#results","title":"Results","text":"

To be announced on Oct 07, 2024.

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