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amr-lmpcc

apollo

An open autonomous driving platform

bytetrack

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

cadrl_ros

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

cartpole_casadi_cplusplus

使用casadi的C++接口写的shooting/collocation轨迹优化示例代码

ccscp

Chance-Constrained Sequential Convex Programming for Robust Trajectory Optimization

crowdnav

[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

cuda_study

cvrm2021-sjtu

2021赛季交龙哨兵代码开源

decompros

A ROS wrapper for implementing convex decomposition

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

development-board-c-examples

dirtrel.jl

A tool for robust motion planning. Implemented in Julia.

dynamic_obstacle_avoidance_planner

Collision prediction based dynamic obstacle avoidance planner

eco

Matlab implementation of the ECO tracker.

elevation_mapping

Robot-centric elevation mapping for rough terrain navigation

ellipse_demo

Simple algorithm for distance to an ellipse

epsilon

eva-planner

f1-10_rrt_planning

Motion planning with RRT* on F1/10 autonomous racing car

far_planner

Fast, Attemptable Route Planner for Navigation in Known and Unknown Environments

faster

3D Trajectory Planner in Unknown Environments

fastrack

A ROS implementation of Fast and Safe Tracking (FaSTrack).

fcaf3d

[ECCV2022] FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection

gauss_cmac

Matlab

gaussian-process-based-model-predictive-control

Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart

gccd-pt

Generalized Continuous Collision Detection Framework of Polynomial Trajectory

go-mpc

This repository will contain the code used for the IEEE RA-L + ICRA 2021 publication: "Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians"

gp-mpc

MPC with Gaussian Process