754 Open source projects that are alternatives of or similar to sparse-scene-flow

An open source autonomous driving stack by San Jose State University Autonomous Driving Team

Software for the AutoRally platform

Scenarios, tutorials and demos for Autonomous Driving

Repository for Autonomous Delivery Robot project of IvLabs, VNIT

MATLAB sample codes for mobile robot navigation

Python sample codes for robotics algorithms.

Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application

Open-source reinforcement learning environment for autonomous racing.

Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

Papers on 3D Object Detection for Autonomous Driving

Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)

CARMA Platform is built on robot operating system (ROS) and utilizes open source software (OSS) that enables Cooperative Driving Automation (CDA) features to allow Automated Driving Systems to interact and cooperate with infrastructure and other vehicles through communication.

Program for rapidly developing computer vision applications

Dataflow system for building self-driving car and robotics applications.

NaviGator ASV on-board software

The Official Deep Learning Framework for Route-based Place Recognition

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

A selection of state-of-the-art research materials on decision making and motion planning.

Driving in CARLA using waypoint prediction and two-stage imitation learning

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

Software for LOCO, our autonomous drifting RC car.

Julia sample codes for Autonomy, Robotics and Self-Driving Algorithms.

Autonomous RC Car powered by a Convoluted Neural Network implemented in Python with Tensorflow

Track oriented, multi target, multi hypothesis tracker

An awesome list of self-driving cars

Object detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

Autonomous Racing Car using NVIDIA Jetson TX2 using end-to-end driving approach. Paper: https://arxiv.org/abs/1604.07316

Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS

Global-Local Capsule Network (GLCapsNet) is a capsule-based architecture able to provide context-based eye fixation prediction for several autonomous driving scenarios, while offering interpretability both globally and locally.

My path-planning pipeline to navigate a car safely around a virtual highway with other traffic.

An autonomous vehicle written in python

Anki Vector Python SDK

Be Driven 🚘

4号機（KIT-C4）用リポジトリ

solution of exercises of the book "probabilistic robotics"

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Autonomous ground robots (2WD, 4WD, Ackermann Steering, Mecanum Drive)

Webots Robot Simulator

⚡️ The Mobile Robot Programming Toolkit (MRPT)

[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

Player/Stage SLAM

Self Driving Cars Longitudinal and Lateral Control Design

An open HD map production process for autonomous car simulation

ROS & Gazebo project for 1/10th scale self-driving race cars

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

Autonomous RC Car using Neural Networks, Python and Open CV

Real-time path planning for vehicles.

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

PyLidar3 is python 3 package to get data from Lidar devices from various manufacturers.

A program for controlling a micro-UAV for obstacle detection and collision avoidance using disparity mapping

2019 DGIST DPoom project under UGRP : SBC and RGB-D camera based full autonomous driving system for mobile robot with indoor SLAM

capsule networks that achieves outstanding performance on the German traffic sign dataset

Lidar Obstacle Detection

Software Development Kit for the Oxford Robotcar Dataset

Self-driving RC Car ROS Software

基于激光传感器实现了简易的自主导航demo-开源自主导航小车项目(mick)

[arXiv] What-If Motion Prediction for Autonomous Driving ❓🚗💨