142 Open source projects that are alternatives of or similar to Driving Lane Departure Warning

Open-source simulator for autonomous driving research.

A list of references on lidar point cloud processing for autonomous driving

Waymo Open Dataset

DISCONTINUED - MIGRATED TO TIANRACER - A Low cost Autonomous Driving Car Educational and Competition Kit

MATLAB sample codes for mobile robot navigation

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

Software for the AutoRally platform

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

A car detection model implemented in Tensorflow.

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

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

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

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization

Euro Truck Simulator 2 autonomous driving solution

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

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

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

Be Driven 🚘

Caffe implementation of our multi-scale object detection framework

⚡️ The Mobile Robot Programming Toolkit (MRPT)

An open autonomous driving platform

Automated Driving in NFS using CNN.

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

Autonomous driving: Tensorflow implementation of the paper "End-to-end Driving via Conditional Imitation Learning"

DMPR-PS: A Novel Approach for Parking-Slot Detection Using Directional Marking-Point Regression

Summaries of papers on machine learning, computer vision, autonomous robots etc.

Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

A Kitti Road Segmentation model implemented in tensorflow.

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

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

A minimalist environment for decision-making in autonomous driving

Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.

Collections of Apollo Platform Software

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

A deep neural network that learns to drive in video games

3d bounding box estimation from monocular image based on 2d bounding box

Real-time Joint Semantic Reasoning for Autonomous Driving

Real-time path planning for vehicles.

无人驾驶相关论文速递

MonoLayout: Amodal Scene Layout from a single image

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

EU Long-term Dataset with Multiple Sensors for Autonomous Driving

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

Ros package for basic autonomous lane tracking and object detection

[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. On ArXiv 2020

Code release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020)

SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018

"Learning by Cheating" (CoRL 2019) submission for the 2020 CARLA Challenge

eCAL - enhanced Communication Abstraction Layer

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

Python sample codes for robotics algorithms.

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

TensorFlow implementation of SqueezeDet, trained on the KITTI dataset.

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

The Official Deep Learning Framework for Route-based Place Recognition