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A lightweight library for instance-level visual road marking extraction, parameterization, mapping, etc.
A free open source IT asset/license management system
Free and Open Source Enterprise Resource Planning (ERP)
This Inventory management system is the currently Ford Asia Pacific after-sales logistics warehousing supply chain process . After I leave Ford , I start this project . You can share your vacant wa…
Online Monocular Lane Mapping Using Catmull-Rom Spline (IROS 2023)
Each chapter of this (mini-)book guides you in programming one important software component for automated driving.
C++ project template with unit-tests, documentation, ci-testing and workflows.
Translation of C++ Core Guidelines [https://github.com/isocpp/CppCoreGuidelines] into Simplified Chinese.
Google 开源项目风格指南 (中文版)
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
Style guides for Google-originated open-source projects
A general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points…
Lanelet maps have been introduced in the context of the autonomous completion of the Bertha-Benz-Memorial-Route in 2013
ROS 2 Autoware Tool for Map Georeferencing and OSM Fusion
A curated list of awesome HD map construction methods
(RA-L & IROS 2020) Cross-view Semantic Segmentation for Sensing Surroundings.
Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
Localising UGV using wheel odometry, IMU, LiDAR and sparse topometric map
Virtual Lane Boundary Generation for Human-Compatible Autonomous Driving
Official PyTorch implementation of GoMatch -- "Is Geometry Enough for Matching in Visual Localization" [ECCV2022]
动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库
CubeSLAM: Monocular 3D Object Detection and SLAM
Pop-up SLAM: Semantic Monocular Plane SLAM for Low-texture Environments
Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.