hfr2015

fmauch_universal_robot

AEMCARL

Reinforcement Learning Based Collision Avoidance with Adaptive Environment Modeling for Crowded Scenes

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

cmake-demo

《CMake入门实战》源码

deep_motion_planning

Using Deep Neural Networks for robot navigation purposes

Driving-IRL-NGSIM

Implementation of the T-ITS paper "Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning"

fmt

Python implementation of Fast Marching Tree

GMVAE

Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering

GraduationPaper

WIP

highway-env

A minimalist environment for decision-making in autonomous driving

imitation-learning

Imitation learning algorithms

Integrate-Algorithmic-Sampling-based-Motion-Planning-with-Learning

Integrate Algorithmic Sampling-based Motion Planning with Learning in Autonomous Driving

KalmanBaseline

Baseline Kalman models for trajectory predictions. One is constant velocity LSTM

LaneGCN

[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

latex-template

南方科技大学 LaTeX 模板目录 SUSTech LaTeX templates

master-report

mmTransformer

[CVPR 2021] "Multimodal Motion Prediction with Stacked Transformers": official code implementation and project page.

NGSIM-US-101-trajectory-dataset-smoothing

smoothing the NGSIM US-101 trajectory dataset using Savitzky-Golay Filter

PathPlanning

Common used path planning algorithms with animations.

phd-bibliography

References on Optimal Control, Reinforcement Learning and Motion Planning

plant

[CoRL'22] PlanT: Explainable Planning Transformers via Object-Level Representations

Python-RVO2

Optimal Reciprocal Collision Avoidance, Python bindings

PythonRobotics

Python sample codes for robotics algorithms.

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

Reinforcement-Learning

kinds of reinforcement learning model by Pytorch

RLcode

rvo_ros

The ros package of rvo library

SATNet

Bridging deep learning and logical reasoning using a differentiable satisfiability solver.

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

TrajectoryNet

TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics