#self-driving

PytorchAutoDrive is a Python framework designed to enhance self-driving perception through flexible semantic segmentation and lane detection models built on PyTorch. Its user-friendly configuration system and straightforward code offer research to application capabilities, with diverse backbone support, faster training, and superior model performance. The framework supports visualization, benchmarking, and deployment with ONNX and TensorRT. Compatibility with several major datasets allows for versatile applications in autonomous driving, providing a valuable tool for both researchers and developers.

Donkeycar is a Python library tailored for those interested in autonomous vehicles, fostering easy experimentation and community involvement. It's widely adopted in schools and universities, enabling testing of self-driving technologies before robot construction through a simulation environment. Key features include deep learning, computer vision, and GPS navigation-driven autopilot systems. With Raspberry Pi as its standard hardware, setup is seamless. Comprehensive documentation aids in constructing and customizing self-driving vehicles, promoting innovation and community engagement in cutting-edge technology exploration.