zhanghao-21

Space-Time-AStar

A* Search Algorithm with an Additional Time Dimension to Deal with Dynamic Obstacles

Multi-Agent-Path-Finding

Anonymous Multi-Agent Path Finding (MAPF) with Conflict-Based Search and Space-Time A*

sumo

Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.

OpenCDA

A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

AV-Drone-Delivery

A simulation project that merges Autonomous Vehicle (AV) car-sharing with drone deliveries to optimize out-of-range deliveries.

pytorch-soft-actor-critic

PyTorch implementation of soft actor critic

P-DQN

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

TrafficMonitoring

Trajectory Extraction of road users via Traffic Camera

trajectory-extractor

Python implementation of a simple vehicle trajectories extractor from traffic cameras

PythonRobotics

Python sample codes for robotics algorithms.

highD-dataset

OpenTraj

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

Two-Dimensional-Time-To-Collision

This repository allows for fast computation of two-dimensional Time-To-Collision (2D-TTC).

Car-Following-Dataset-HV-vs-AV

This is the description of the comparisive car-following dataset for studying driving behaviours when following AVs vs. HVs.

OpenCDA_notes

This repo contains some notes about learning the open-source cooperative driving framework OpenCDA.

pid_controller

A python implementation of a PID controller, with accompanying auto-tune utility.

DeepRL

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

FADNet

Deep Federated Learning for Autonomous Driving (IV'22)

RL-based-Transferable-EMS

[IV 2022] A Comparative Study of Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles.

DAIR-V2X-Seq

UCF-SST-CitySim1-Dataset

Official github page of UCF SST CitySim Dataset

Reinforcement-Learning-via-DQN-Agent-Carla

The primary purpose of CARLA is to support development, training, and validation of autonomous driving systems.

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

carla

Open-source simulator for autonomous driving research.

HighwayEnv

A minimalist environment for decision-making in autonomous driving

reinforcement-learning-based-driving-decision-in-Carla

reinforcement learning based agents for self-driving in CARLA

gym-goal

OpenAI Gym environment for Robot Soccer Goal

gym-soccer

OpenAI Gym environment for Half Field Offense

CE_lane_change

Continous Environment for lane change

DQN_lane_change

Implemenation of DQN for lane changes