Unified Reinforcement Learning Framework

Decision Intelligence Platform for Autonomous Driving simulation.

A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.

😉基于OpenMV的无人驾驶智能小车模拟系统

An Integrated Cyber-Physical Ecosystem for Autonomous Driving Research and Education

A Fast and Open Source Autonomous Perception System.

使用深度强化学习解决视觉跟踪和视觉导航问题

nncore is a pytorch framework focusing on solving autonomous-driving problems.

AutoDRIVE-F1TENTH Development and Integration

AutoDRIVE-Autoware Development & Integration

HPC Deployments of AutoDRIVE Simulator

Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles

This project uses the artificial potential field method to realize the path planning of the robot, and completes the trajectory optimization through other settings. It can also be combined with laser SLAM, target recognition and other technologies for path planning.

Dynamics and Perception Dataset of Hunter SE Robot

F1TENTH Sim Racing League using AutoDRIVE Ecosystem

F1TENTH Autonomous Sim-Racing using AutoDRIVE Ecosystem

Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles

In this project we want to examine a hypothetical system for automatic car braking to describe the mechanism of fuzzy inference systems

Autodriving prototype with deep reinforcement learning