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adaptive-cruise-control-based-on-mpc

Simulation and Robotic Implementation of the Adaptive Cruise Control based on the Predictive Control Model

apollo_and_-autoware_path_planner

apollo_control_algorithm

awesome-interaction-aware-trajectory-prediction

A selection of state-of-the-art research materials on trajectory prediction

b-gap-behavior-guided-action-prediction-and-navigation-for-autonomous-driving

This is the code base for our paper "B-GAP: Behavior-Guided Action Prediction and Navigation for Autonomous Driving", which was submitted to IROS 2021.

bayesian_uncertainty_lstm

Bayesian, Uncertainty, Neutral Networks, LSTM, time series

bayespy

Bayesian Python: Bayesian inference tools for Python

carla-ppo

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

carla_ilqr_mpc

Implementation of the real-time MPC based on iLQR in Carla simulator

changelaneusingrl

2020"同路人"交通科技大赛参赛项目——《自动驾驶换道轨迹规划——择优、学优到更优》强化学习部分后端

competition_3v3snakes

conformal_lattice_planner

conv-social-pooling

Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

cpp-design-patterns

C++设计模式

cpp_houjie

侯捷C++课程PPT及代码,动手学起来

cpprobotics

cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control

dig-into-apollo

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

dqn_zoo

DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.

drl_based_selfdrivingcarcontrol

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

havsim

A differentiable traffic simulator for calibration of traffic models and optimization of AV behavior

highd-dataset

highd-ngsim-lane-change-feature-extraction

HighD,NGSIM lane change feature extraction and save.

highd_preprocessing

HighD preprocessing

higwayovertakinglanechanges

Lane Changes in a Highway environment using Reinforcement learning in SUMO

hybrid-a-star-annotation

Hybrid A*路径规划器的代码注释

hybrid-deeprl-automated-driving

Integrating Deep Reinforcement Learning with Path planning for Automated Driving

hybrid_a_star

Hybrid A Star algorithm C++ implementation

ibmyes

imu_gps_localization

Using error-state Kalman filter to fuse the IMU and GPS data for localization.