Stars
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
PyTorch implementation for the paper "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"
Decision Transformer for offline single-agent autonomous highway driving
Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
This project is to use Model Predictive Control (MPC) to drive a car in a game simulator. The server provides reference waypoints (yellow line in the demo video) via websocket, and we use MPC to co…
A minimalist environment for decision-making in autonomous driving
Python sample codes and textbook for robotics algorithms.
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Agent based simulation framework for validating planners in automated driving synthetic scenarios. This examples demonstrates overtake maneuver.
References on Optimal Control, Reinforcement Learning and Motion Planning
A Python-embedded modeling language for convex optimization problems.