217 Open source projects that are alternatives of or similar to Hybridastartrailer

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

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

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

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

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

Self Driving Cars Longitudinal and Lateral Control Design

Papers on 3D Object Detection for Autonomous Driving

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

This repo contains C++ code for sparse scene flow method.

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.

Be Driven 🚘

Track oriented, multi target, multi hypothesis tracker

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

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

An awesome list of self-driving cars

This is the source code of the feasibility study for Autoware architecture proposal.

Software for the AutoRally platform

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

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

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

Python sample codes for robotics algorithms.

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

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

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

Scenarios, tutorials and demos for Autonomous Driving

Autonomous RC Car using Neural Networks, Python and Open CV

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

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

Ros package for basic autonomous lane tracking and object detection

Lidar Obstacle Detection

Repository for Autonomous Delivery Robot project of IvLabs, VNIT

An open HD map production process for autonomous car simulation

Open-source simulator for autonomous driving research.

An open autonomous driving platform

MATLAB sample codes for mobile robot navigation

Vehicle State Estimation using Error-State Extended Kalman Filter

Software for LOCO, our autonomous drifting RC car.

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

[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.

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

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

Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

Version 3 of Autonomous Stair Climbing Robot

simobility - light-weight mobility simulation framework. Best for quick prototyping

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

proof-of-concept program that detects rail-track with semantic segmentation for autonomous train system

The devkit of the nuPlan dataset.

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)

Develop kit for CRUW dataset

L5Kit - https://level-5.global/

Fusing GPS, IMU and Encoder sensors for accurate state estimation.

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

[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

Install the ROS stack, MIT RACECAR Packages, and hardware support on RACECAR/J.

OpenDLV - A modern microservice-based software ecosystem powered by libcluon to make vehicles autonomous.

Open-source reinforcement learning environment for autonomous racing.

zenoh-flow aims at providing a zenoh-based data-flow programming framework for computations that span from the cloud to the device.

An autonomous parade float/vehicle

Lane identification system for camera based systems.