163 Open source projects that are alternatives of or similar to AutonomousDriving

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

3D model exchange format with physical material properties for virtual development, test and validation of automated driving.

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

Code for ECCV 2020 "DVI: Depth Guided Video Inpainting for Autonomous Driving"

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

YOLO v3 and Tiny YOLO v1, v2, v3 with Tensorflow.js

Software for LOCO, our autonomous drifting RC car.

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

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

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.

A collaborative tool for labeling image data for yolo

Built a real-time lane departure warning system with a monocular camera, using OpenCV.

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

php ffi darknet

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

Virtual Lane Boundary Generation for Human-Compatible Autonomous Driving

ML Dataset Governance Policy for Autonomous Vehicle Datasets

Repository for Autonomous Delivery Robot project of IvLabs, VNIT

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

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.

Autonomous driving - car detection using the very powerful YOLO model

Papers and Datasets about Point Cloud.

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

DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

4th place solution in Baidu Autonomous Driving Lane Segmentation

A pytorch Implementation of classical object detection.

Python sample codes for robotics algorithms.

LiDAR fog simulation

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。

CVPR 2020, "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps"

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

An implementation of AVP-SLAM and some new contributions

Self Driving Cars Longitudinal and Lateral Control Design

A simple tool for generating training data from the Carla driving simulator

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…

A pytorch implementation of YOLOv1-v3

Won the most innovative solution at Bitcamp 2019.🎖🎉

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

[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.

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

converts the format of the caltech pedestrian dataset to the format that yolo uses

Autonomous Driving Simulator for the Portuguese Robotics Open

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

Gym environments and agents for autonomous driving.

Intensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020

Autonomous RC Car using Neural Networks, Python and Open CV

An awesome list of self-driving cars

(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving

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

Implement the test part of YOLOv2 with TensorFlow.

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

Motion Planner for Self Driving Cars

An OpenAI gym wrapper for CARLA simulator

This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT

A tentacle-based pathfinding library for nonholonomic robotic vehicles

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

Self-driving RC Car ROS Software

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

Track oriented, multi target, multi hypothesis tracker

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