503 Open source projects that are alternatives of or similar to copilot

Lane identification system for camera based systems.

Lane depertaure and Yolo objection detection C++ Linux

Virtual Lane Boundary Generation for Human-Compatible Autonomous Driving

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

Autonomous Driving Simulator for the Portuguese Robotics Open

Lane detection MATLAB code for Kalman Filter book chapter: Lane Detection

[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.

Advanced lane finding

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

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

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

Implementation of A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application

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

An open autonomous driving platform

Vehicle State Estimation using Error-State Extended Kalman Filter

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

Ros package for basic autonomous lane tracking and object detection

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

Python sample codes for robotics algorithms.

Open-source simulator for autonomous driving research.

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

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

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

Autonomous RC Car using Neural Networks, Python and Open CV

Udacity Self-Driving Car Engineer Nanodegree projects.

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

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

Papers on 3D Object Detection for Autonomous Driving

You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）

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

MATLAB sample codes for mobile robot navigation

A path planning algorithm based on Hybrid A* for trailer truck

Software for the AutoRally platform

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

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

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

Lidar Obstacle Detection

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

Scenarios, tutorials and demos for Autonomous Driving

Be Driven 🚘

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

Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.

Software for LOCO, our autonomous drifting RC car.

Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer (IV 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.

A collaborative tool for labeling image data for yolo

PyTorch pipeline of MIT Driverless Computer Vision paper(2020)

Track oriented, multi target, multi hypothesis tracker

Repository for Autonomous Delivery Robot project of IvLabs, VNIT

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

使用OpenCV部署全景驾驶感知网络YOLOP，可同时处理交通目标检测、可驾驶区域分割、车道线检测，三项视觉感知任务，包含C++和Python两种版本的程序实现。本套程序只依赖opencv库就可以运行， 从而彻底摆脱对任何深度学习框架的依赖。

Self Driving Cars Longitudinal and Lateral Control Design

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.

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

Lane Detection for Self Driving Car

An open HD map production process for autonomous car simulation

An awesome list of self-driving cars

Automatic Parking is an autonomous car maneuvering system (part of ADAS) that moves a vehicle from a traffic lane into a parking spot to perform parallel parking. The automatic parking system aims to enhance the comfort and safety of driving in constrained environments where much attention and experience is required to steer the car. The parking…

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

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