A comprehensive survey of forging vision foundation models for autonomous driving, including challenges, methodologies, and opportunities.

[WACV 2024 Survey Paper] Multimodal Large Language Models for Autonomous Driving

A curated list of awesome LLM for Autonomous Driving resources (continually updated)

SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

This repository collects research papers of large Vision Language Models in Autonomous driving and Intelligent Transportation System. The repository will be continuously updated to track the lates…

A curated list of Decision Transformer resources (continually updated)

无人驾驶的资源列表中文版

All kind of experts that can collect data for e2e learning in CARLA; 根据现有的开源代码，收集的相关experts

[ICRA 2024] Learning from Human Guidance: Uncertainty-aware deep reinforcement learning for autonomous driving.

[T-ITS'23] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).

[TNNLS] PGDQN: A generalized and efficient preference-guided epsilon-greedy policy equipped DQN for Atari and Autonomous Driving

assistant tools for attention visualization in deep learning

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Gazebo ackermann vehicle model

Gazebo ackermann vehicle model

ros robot with car-like steering

Reinforcement Learning based navigation

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random g…

[TNNLS] Imitative Expert Prior-Guided Reinforcement Learning for Autonomous Driving

Scalable Multi-Agent RL Training School for Autonomous Driving

Deep Q-Learning Network in pytorch (not actively maintained)

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms