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[ECCV 2024] Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting
To build a self driving car simulator for Chinese traffic, which based on intel open source simulator CARLA.
Python traffic simulation libarary based on Martin Treiber's Java applet from: http://www.traffic-simulation.de/. Implement IDM follower model and Lanechange model.
A microscopic traffic simulator using Pygame that is build on the Intelligent Driver Model and Minimizing Overall Braking Induced by Lane change (MOBIL) mode
Road traffic simulator and signals optimizer in CoffeeScript & HTML5
The official code for paper "Human as AI Mentor: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving"
Decision Intelligence Platform for Autonomous Driving simulation.
A JAX-based simulator for autonomous driving research.
These codes were written a long time ago，which is simple for car following. The car in front can be in IDM mode or constant speed mode. It uses the car following dynamic model and MPC-DCBF controll…
Simulation of car following model
[NeurIPS 2024 Datasets and Benchmarks Track] Closed-Loop E2E-AD Benchmark Enhanced by World Model RL Expert
applying multi-agent reinforcement learning for highway-merging autonomous vehicles
Implement Motion Planning for autonomous car on CARLA simulator
Python library to generate linked OpenDRIVE and OpenSCENARIO files
This repository contains a project for a traffic control system using the Proximal Policy Optimization (PPO) algorithm. The custom environment simulates traffic signals and vehicles at an intersect…
A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles in CARLA to navigate scenarios with stationary obstacles.
Autonomous driving agent in Carla simulator leveraging IL and RL techniques.
2d Deep Reinforcement Learning environment with Carla
This is a repository for paper Sequential Attention Learning for End-to-end Driving
A 3DGS framework for omni urban scene reconstruction and simulation.
A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and 3-D animation is based on Carla
An extension of the Planner-Actor-Reporter framework applied to autonomous vehicles in Highway-Env and CARLA.
LimSim & LimSim++: Integrated traffic and autonomous driving simulators with (M)LLM support
[CVPR 2023] Query-Centric Trajectory Prediction