Learn OpenCV : C++ and Python Examples

《统计学习方法》的代码实现

[CVPR 2024] LMDrive: Closed-Loop End-to-End Driving with Large Language Models

Python implementation of KNN and DTW classification algorithm

Each chapter of this (mini-)book guides you in programming one important software component for automated driving.

An Occupancy Grid Representation in Python

Tutorial on Autonomous Vehicles' mapping algorithm with Occupancy Grid Map and Dynamic Grid Map using KITTI Dataset

An open-source software package for fuzzing autonomous driving systems in high-fidelity simulators

PhysCov, a novel approach for quantifying autonomous vehicle testing adequacy by analyzing sensor data and physical reachability, enabling more efficient test suite coverage with real-world examples.

PyTorch's implementation of the paper "End to End Learning for Self-Driving Cars"

An end to end model :: AI-driving Vehicle using Deep Learning(CNN) using PyTorch implementation

LiDAR annotation tool using ray tracing and bounding boxes.

Scenarios, tutorials and demos for Autonomous Driving