Skip to content
View hoanganhidi0822's full-sized avatar
  • Intelligent Systems Laboratory - HCMUTE
  • Ho Chi Minh City
  • 03:46 (UTC +07:00)
  • Facebook phan.hoanganh.562

Block or report hoanganhidi0822

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
hoanganhidi0822/README.md

πŸ’» Phan Van Hoang Anh

Automation & Embedded Systems Engineer | Innovator


πŸ‘‹ About Me

I am an Automation and Embedded Systems Engineer passionate about developing innovative solutions that bridge the gap between hardware and software. With a focus on embedded systems, real-time processing, and automation, I aim to create systems that make the world smarter and more efficient.

  • 🌱 Currently Learning: Advanced sensor fusion techniques, AI for edge devices.
  • πŸ”§ Skills: C/C++, Python, Embedded C, MQTT, Node-RED, Modbus, Circuit Design, PCB Layout.
  • 🎯 Focus Areas: IoT, Robotics, Automation, Industrial Automation.
  • πŸ›  Tools & Platforms: Arduino, ESP32, Raspberry Pi, STM32.

πŸš€ Projects

πŸ€– Autonomous Car

A fully functional autonomous car project integrating sensor fusion, real-time processing, and advanced control algorithms to navigate and avoid obstacles autonomously.

  • Features:

    • Obstacle Detection and Avoidance: Utilizes LiDAR (SICK TIM310) and ultrasonic sensors to detect and navigate around obstacles.
    • Path Planning: Implements A* algorithm for optimal pathfinding and navigation.
    • Sensor Fusion: Combines data from LiDAR, GPS, and IMU for precise localization and movement.
    • Real-Time Processing: Uses STM32 microcontroller for real-time control and decision-making.
  • Tech Stack:

    • Languages: C++, Python, Embedded C
    • Microcontrollers: STM32
    • Sensors: SICK TIM310 LiDAR, Quectel L80 GPS, MPU6050 IMU, Ultrasonic Sensors
    • Frameworks: Pytorch
    • Communication Protocols: UART, I2C, SPI
  • Project Highlights:

    • Control Algorithms: Implemented PID and S-curve motion control for smooth steering and velocity adjustments.

πŸ“ˆ Stats



πŸ› οΈ Skills & Tools

  • Programming Languages: C, C++, Python, Embedded C
  • Microcontrollers: ESP32, STM32, Arduino, Raspberry Pi
  • Protocols: MQTT, Modbus RTU/ASCII, I2C, SPI, UART
  • Tools: Node-RED, Git, VSCode,...

πŸ“« Get in Touch

Popular repositories Loading

  1. BrailleDevice BrailleDevice Public

    HTML 1

  2. Line-Follower-Robot Line-Follower-Robot Public

    C++ 1

  3. Dji-Tello Dji-Tello Public

    Python 1

  4. Road-Segmentation-Dataset Road-Segmentation-Dataset Public

    1

  5. Self-Driving-Car-Simulation Self-Driving-Car-Simulation Public

    ASP.NET 1

  6. Lane-Navigation-for-Self-Driving-Car Lane-Navigation-for-Self-Driving-Car Public

    Forked from jagani-aditya/Lane-Navigation-for-Self-Driving-Car

    This is an implementation in CARLA of a self-driving car that is capable of turning at intersections, and overtaking other vehicles. We have used a motion planner based on Bezier curves for safe la…

    Python 1