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OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
Multi-Sensor Fusion for Localization & Mapping
深蓝学院 多传感器定位融合第四期 学习笔记
LIO-SAM基于已知地图的定位
Autoware - the world's leading open-source software project for autonomous driving
The LiDAR segmenters library, for segmentation-based detection.
Tracking objects obtaining from segmentor and improve segmentation. https://github.com/LidarPerception/segmenters_lib
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Interactive Map Correction for 3D Graph SLAM
Source code for the article "Robust LiDAR Feature Localization for Autonomous Vehicles Using Geometric Fingerprinting on Open Datasets"
Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems
You Only Look Once for Panopitic Driving Perception.（MIR2022）
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。
automatic calibration of 3D lidar and IMU extrinsics
A Modular Framework for LiDAR-based Lifelong Mapping
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
stevephone / Mask_RCNN
Forked from matterport/Mask_RCNNMask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Open-source simulator for autonomous driving research.
Coursera Open Courses from University of Toronto
Python sample codes and textbook for robotics algorithms.
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …
Social LSTM using PyTorch for Vehicle Data