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This repository shows information about the solution of our team joining the competition, namely UIT Car Racing 2022. Although the project has some hesitations about algorithms for controller, all of the machine learning methods have been optimized for hardware that can easily to build up FPS to serve for real-time operating system.

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Syun1208/uit-car-racing-2022

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Autonomous Car ITcar

Run regconition tasks on Jetson Nano

Convert Drivable Area Segmentation Model/Traffic Sign Classification Model to ONNX

Convert YOLO to TensorRT

    cd Recognition/yolo
    python3 yolo_to_onnx.py -m "model name"
    python3 onnx_to_tensorrt.py -m "model name"

Run

    cd Recognition
    run "python3 run.py"

Drivable Area Segmentation

Network Architecture

Picture1.png

Data Augmentation

da.jpg

Training

    run "training/DA segmentation.ipynb"

Traffic Sign Object Detection

YoloV4 tiny

Darknet

Data

Dowload link

Traffic Sign Classification

Network Architecture

output.png

Data

Dowload link

Training

    run "training/traffic sign classification.ipynb"

Project status

  • Drivable Area Segmentation
  • Traffic Sign Object Detection
  • Traffic Sign Classification
  • Hardware Control
  • Control algorithm

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This repository shows information about the solution of our team joining the competition, namely UIT Car Racing 2022. Although the project has some hesitations about algorithms for controller, all of the machine learning methods have been optimized for hardware that can easily to build up FPS to serve for real-time operating system.

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