From 2f04ee57b1fa18c623861ae3793d20b03695901e Mon Sep 17 00:00:00 2001 From: <> Date: Tue, 10 Dec 2024 02:26:49 +0000 Subject: [PATCH] Deployed 3849a28 with MkDocs version: 1.6.1 --- .../f1tenth-sim-racing-cdc-2024/index.html | 4 ++-- search/search_index.json | 2 +- sitemap.xml | 18 +++++++++--------- sitemap.xml.gz | Bin 275 -> 275 bytes 4 files changed, 12 insertions(+), 12 deletions(-) diff --git a/competitions/f1tenth-sim-racing-cdc-2024/index.html b/competitions/f1tenth-sim-racing-cdc-2024/index.html index 30cdaf3..bebf63b 100644 --- a/competitions/f1tenth-sim-racing-cdc-2024/index.html +++ b/competitions/f1tenth-sim-racing-cdc-2024/index.html @@ -964,7 +964,7 @@

Timeline

Info

-

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.

+

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. We have also been able to organize a special session for F1TENTH Sim Racing League Celebration on Monday (Dec 16), 18:00-19:00 CET with the help of the CDC organizing committee. Join the celebration event to relive the nail-biting races, hear the top teams brag about their winning strategies (~5-minute presentations), and start your engines for the physical competition.

Resources

@@ -1709,7 +1709,7 @@

Results - December 9, 2024 + December 10, 2024 diff --git a/search/search_index.json b/search/search_index.json index 563ab58..a89d8f8 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 Presentation IROS 2023 Presentation"},{"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 31, 2024 Registration Closes Nov 08, 2024 (5:30 \u2013 6:30 PM EST) Online Orientation 1 Nov 23, 2024 (1:00 \u2013 2:00 PM EST) Online Orientation 2 Nov 30 \u2013 Dec 01, 2024 Qualification Round Dec 02, 2024 Qualification Results Declared Dec 04, 2024 Competition Track Released Dec 07 \u2013 Dec 08, 2024 Final Race Dec 09, 2024 Competition Results Declared

Following is a brief summary of each event:

Info

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 targeting 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!

We recommend all the teams interested in participating in the F1TENTH Sim Racing League to get accustomed with the competition. Following are a few resources to get you started:

Question

You can post general questions on the AutoDRIVE Slack workspace; this is the preferred modality. Technical questions can be also posted as GitHub Issues or GitHub Discussions. For any other questions or concerns that cannot be posted publicly, please contact Chinmay Samak or Tanmay Samak.

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

This competition is open to 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 separate 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 attend 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:

SR. NO. TEAM NAME TEAM MEMBERS ORGANIZATION 01 Beryllium Ronnie Romman Personal 02 AERObotics Arif AnjumMuhammed Sharjil AEROBOTICS 03 Pharst Laps Olivia DryTian ZhaoYitian ChenAmir Ali Farzin Australian National University 04 SeDriCa-UMIC Kshitij VaidyaYash GuptaManav JainParth AgrawalSahil KukrejaJohan BijuPaawan NenwaniShivam Yadav Indian Institute of Technology, Bombay 05 Unimelb F1Tenth Racing Henry YapeterMatthew FreemanNathan RuslimHarry Tauber The University of Melbourne 06 Donatello Rahil Bhowal Personal 07 VAUL Tommy Bouchard-LebrunWilliam FecteauNicolas Lauzon Laval University 08 TUM Phoenix Dean MercerZara Zhotabayeva Technische Universit\u00e4t M\u00fcnchen 09 Autonomous Motorsports Purdue Manav GagvaniAlan KangSivamurugan VelmuruganRohan PottaSangeet Mohan Purdue University 10 Pegasus Zeyuan WangChao Wang Personal 11 ARCLab William AkuffoJoshua NtiReginald Andrew Sai-ObodaiBaron AfutuJoel Osei-Asamoah Ashesi University 12 YTU AESK Mahmut DemirAhmet \u00c7elik\u0130layda Sena \u015eahinFurkan Erdo\u011fanAlper Y\u0131lmazEnes Talha G\u00fcnayTaha \u0130lter AkarHilal Horasan Y\u0131ld\u0131z Technical University Alternative Energy Systems Society 13 MMS Autonomous Yousef AsalZaynap AhmadOmar AshrafOmar ElsharabasyAbdallah NabilAhmed ElShaboury Mansoura University 14 HUN-REN SZTAKI Csan\u00e1d BudaiTam\u00e1s Sz\u00e9les HUN-REN SZTAKI 15 bracaai Luis Bracamontes Personal 16 Velox Karun Ashok Kumar University of Twente 17 Exhausted Lion Mohamed Alaa Personal 18 Sahruday Patti Sahruday Patti Personal 19 Als F1Tenth Racing Auriol Ble Alpha Space Robotics Lab 20 SoloDriver Hana Nabhan Personal 21 Daniel's RL Experiment Daniel Mittelman Georgia Institute of Technology 22 TURTLEBOT Jit Ern Lim Personal 23 TractionX Ameya BagalAnanya DasAmizhthni PRK Indian Institute of Technology, Madras 24 Awareness Guodong Zhu Nanjing Forest University 25 Byte Benders Bhajneet Singh BediYaduraj Jagadeesan Personal 26 Eigenbots Shubham BargeAnshuman Jena Personal 27 __duronto__ Md. JesanMuhammad Fahim FaisalAbu Nafis Mohammod Noor RohanRakibul Islam Rakib BRAC University, Dhaka Residential Model College 28 MV33F110 Vishwanath R Personal 29 F1NESSE - Formula 1 Neuro-Enhanced System for Smart Execution Oscar Guerrero RosadoJoris KranzJan HoningWout Laracker Radboud University, ROC Nijmegen 30 Baby Driver Mason Notz Personal 31 Asturian Kingdom Team David MirandaLuc\u00eda S\u00e1nchezMiguel Santamar\u00eda University of Oviedo 32 AsTenth Martin Ajay Shankar Sriram UC Irvine 33 Ray C.E.R.S. Aditya JambhaleAkshat Tambi SRM Institute of Science and Technology 34 Neutrino Ahmed ElnelyAbdallah AtefMohamed AbdelmoneamNoran MohamedYasmin KhaledNouran Karam Egyptian Russian University 35 Zancle E-Drive Gaetano Pio PispisaGiovanni LombardoSimone Castorino University of Messina, Italy 36 sim_goes_brrrrrr_mha Marzanul MomenineMaidul IslamHironmoy Roy Rudra Personal 37 Inertia Mushfiqur RahmanAl Mahir AhmedSuhail Haque RafiAbrar Ahmed Personal 38 Assiut Motorsport Omar AbbasKareem SalahMohamed Abd-El-FattahAhmed ShehataDoaa IbrahemEslam MohamedArwa IbrahimMaotaz RefaatFajr MohamedAhmed Mohamed Assiut University 39 SELF Zhuo OuyangPengcheng YouChang LiuYingzhu LiuChengrui Qu Peking University 40 Triton AI Yen-Ru ChenWinston ChouKevin ShinSamuel LinSurya SettyAryan Palaskar University of California, San Diego 41 Escuderia Brasileira de Ve\u00edculos Aut\u00f4nomos Fernando Zolubas PretoAntonio Colombini NetoFelipe Gomes de Melo D'EliaCarlos Alberto Arronte DelgadoFrancisco Rodrigues MaraziaLuccas BarsottiCaio Victor Goveia Freitas Polytechnic School of the University of S\u00e3o Paulo - Brazil 42 Autonomous Ground Vehicle Shreyansh KansalSwaminathan S KYash SirviAditya SrivastavaAkshit GoyalAtul SinghRohan SinghTheyanesh E RSandip DasArham J BhansaliAnsh SharmaSamarth G Indian Institute of Technology, Kharagpur 43 SUST Autodrive Abul Bashar RazMd. Redwan HasanEhsanul Karim AslamMd. Tamzid Islam Babul Shahjalal University of Science and Technology 44 Sabeq Adham WaleedAbdulrahman AhmedNabil FoudaMostafa Samy Ain Shams University 45 RapidRabbits Aryan IyerSiddhant Diwaker Personal 46 Orion U Skanda AithalAryan AgarwalAditya GuptaAman KumarLakshmikanth Nageswar Personal 47 KOU-Mekatronom Mehmet Baha DursunMuvahhid K\u0131l\u0131\u00e7Can Ercan Personal 48 CLUTCH Emmanuel KorankyeAppenteng AdjepongSamuel AkwensivieKobena EnyamDesmond Hammond Personal 49 SimRacer Vinura Wanniarachchi Personal 50 WaterlooF110 Megnath RameshShaswat GargAvraiem IskanderPraneeth KVK University of Waterloo 51 AA LAB Taha KocyigitTaha Yigit Erdogan Bogazici University

Note

The above table will be updated with newly registered teams within a few days of registration. Please contact Chinmay Samak or Tanmay Samak if you do not see your team entry for more than 7 days after registering.

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

Use the secure form below to make your team's submission for Phase 1 (Qualification Round) of the F1TENTH Sim Racing League. Please fill in your team's name and add the link to your team's DockerHub repository containing the autonomous racing stack. If you are using a private repository, make sure to add autodriveecosystem as a collaborator to your repository.

Phase 1 Submission Form

Warning

Phase 1 submission window will close on Nov 30, 2024. Please contact Chinmay Samak or Tanmay Samak if you have any questions.

Use the secure form below to make your team's submission for Phase 2 (Final Race) of the F1TENTH Sim Racing League. Please fill in your team's name and add the link to your team's DockerHub repository containing the autonomous racing stack. If you are using a private repository, make sure to add autodriveecosystem as a collaborator to your repository.

Phase 2 Submission Form

Warning

Phase 2 submission window will close on Dec 07, 2024. Please contact Chinmay Samak or Tanmay Samak if you have any questions.

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

Phase 1: Qualification

The following teams have qualified for the final time-attack race. Here are the official standings:

RANK TEAM NAME RACE TIME COLLISION COUNT ADJUSTED RACE TIME BEST LAP TIME 01 \ud83d\udc4f VAUL 70.30 s 0 70.30 s 6.96 s 02 \ud83d\udc4f Asturian Kingdom Team 75.27 s 0 75.27 s 7.52 s 03 \ud83d\udc4f SoloDriver 82.97 s 0 82.97 s 8.27 s 04 \ud83d\udc4f TURTLEBOT 90.33 s 0 90.33 s 8.98 s 05 \ud83d\udc4f Byte Benders 85.61 s 1 95.61 s 8.29 s 06 \ud83d\udc4f AsTenth Martin 92.44 s 1 102.44 s 9.08 s 07 \ud83d\udc4f Pharst Laps 93.69 s 1 103.69 s 9.24 s 08 \ud83d\udc4f Autonomous Ground Vehicle 111.94 s 1 121.94 s 10.55 s 09 \ud83d\udc4f Autonomous Motorsports Purdue 122.34 s 0 122.34 s 12.22 s 10 \ud83d\udc4f Escuderia Brasileira de Ve\u00edculos Aut\u00f4nomos 114.19 s 1 124.19 s 11.33 s 11 \ud83d\udc4f YTU AESK 125.14 s 0 125.14 s 12.47 s 12 \ud83d\udc4f Zancle E-Drive 126.79 s 0 126.79 s 12.65 s 13 \ud83d\udc4f Baby Driver 122.66 s 1 132.66 s 12.19 s 14 \ud83d\udc4f Pegasus 146.82 s 0 146.82 s 14.65 s 15 \ud83d\udc4f MMS Autonomous 113.15 s 5 163.15 s 10.90 s 16 \ud83d\udc4f WaterlooF110 190.31 s 0 190.31 s 18.78 s 17 \ud83d\udc4f bracaai 201.09 s 0 201.09 s 19.68 s 18 \ud83d\udc4f Assiut Motorsport 112.09 s 9 202.09 s 10.74 s 19 \ud83d\udc4f SeDriCa-UMIC 185.18 s 2 205.18 s 18.34 s 20 \ud83d\udc4f Sabeq 128.63 s 10 228.63 s 12.50 s

Phase 2: Competition

The following teams successfully finished the final time-attack race. Here are the official standings:

RANK TEAM NAME RACE TIME COLLISION COUNT ADJUSTED RACE TIME BEST LAP TIME 01 \ud83e\udd47 VAUL 103.84 s 0 103.84 s 10.35 s 02 \ud83e\udd48 Baby Driver 136.63 s 0 136.63 s 13.58 s 03 \ud83e\udd49 TURTLEBOT 145.99 s 0 145.99 s 14.42 s 04 \ud83d\udc4f Asturian Kingdom Team 150.76 s 1 160.76 s 14.91s 05 \ud83d\udc4f Pharst Laps 151.37 s 3 181.37 s 14.79 s 06 \ud83d\udc4f bracaai 167.15 s 2 187.15 s 16.34 s 07 \ud83d\udc4f Byte Benders 195.76 s 2 215.76 s 18.99 s 08 \ud83d\udc4f Autonomous Motorsports Purdue 211.76 s 1 221.76 s 20.48 s 09 \ud83d\udc4f Escuderia Brasileira de Ve\u00edculos Aut\u00f4nomos 219.45 s 1 229.45 s 21.74 s 10 \ud83d\udc4f Pegasus 227.29 s 1 237.29 s 21.72 s 11 \ud83d\udc4f Zancle E-Drive 241.64 s 0 241.64 s 24.04 s 12 \ud83d\udc4f MMS Autonomous 155.19 s 9 245.19 s 15.09 s 13 \ud83d\udc4f SoloDriver 259.23 s 1 269.23 s 24.59 s"},{"location":"competitions/f1tenth-sim-racing-guide/","title":"Technical Guide","text":"

This document describes the technical details of the competition framework for the F1TENTH Sim Racing League. It goes over the details pertaining to the simulator and devkit, as well as some important aspects of the submission system, process, and evaluation.

Warning

It expected that teams have sufficient background knowledge pertaining to autonomous racing (concepts, methods, and algorithms), programming languages (Python, C++, etc.) and frameworks (ROS 2), containerization (Docker) and version control (Git), etc. In order to be fair to all teams and keep the competition on schedule, extensive technical support/help cannot be provided by the organizers. However, legitimate requests may be entertained at the discretion of the organizers.

Note

Although AutoDRIVE Ecosystem supports various vehicles across different scales, configurations, and operational design domains (ODDs), the only vehicle allowed for this competition is the F1TENTH. Similarly, although AutoDRIVE Ecosystem supports multiple application programming interfaces (APIs), the only API allowed for this competition is ROS 2.

Please see the accompanying video for a step-by-step tutorial of setting up and using the competition framework.

"},{"location":"competitions/f1tenth-sim-racing-guide/#1-autodrive-simulator","title":"1. AutoDRIVE Simulator","text":"

AutoDRIVE Simulator (part of the larger AutoDRIVE Ecosystem) is an autonomy oriented tool designed to model and simulate vehicle and environment digital twins. It equally prioritizes backend physics and frontend graphics to achieve high-fidelity simulation in real-time. From a computing perspective, the simulation framework is completely modular owing to its object-oriented programming (OOP) constructs. Additionally, the simulator can take advantage of CPU multi-threading as well as GPU instancing (if available) to efficiently parallelize various simulation objects and processes, with cross-platform support.

For the F1TENTH Sim Racing League, 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. This would democratize autonomous racing and make this competition accessible to everyone across the globe.

"},{"location":"competitions/f1tenth-sim-racing-guide/#11-system-requirements","title":"1.1. System Requirements","text":"

Minimum Requirements:

Recommended Requirements:

Info

Note that the organizers will execute the competition framework on a workstation incorporating Intel Core i9 14th Gen 14900K CPU, NVIDIA GeForce RTX 4090 GPU, and 64 GB RAM (or a similar configuration). This machine will be simultaneously running the simulator container, devkit container, screen recorder and data logger. Kindly develop your algorithms while considering these computational requirements.

"},{"location":"competitions/f1tenth-sim-racing-guide/#12-user-interface","title":"1.2. User Interface","text":"

AutoDRIVE Simulator's graphical user interface (GUI) consists of a toolbar encompassing two panels for observing and interacting with key aspects of the simulator in real-time, namely Menu and Heads-Up Display (HUD). Both the panels can be enabled or disabled using the burger icons provided on the toolbar; the figure above illustrates both the GUI panels being enabled. The menu panel on the left-hand side helps configure and control some important aspects of the simulation with just a few clicks. The HUD panel on the right-hand side helps visualize prominent simulation parameters along with vehicle status and sensory data, while hosting a time-synchronized data recording functionality that can be used to export simulation data for a specific run.

"},{"location":"competitions/f1tenth-sim-racing-guide/#121-menu-panel","title":"1.2.1. Menu Panel","text":"