hd-map

GAAS is an open-source program designed for fully autonomous VTOL(a.k.a flying cars) and drones. GAAS stands for Generalized Autonomy Aviation System.

High-resolution map (OpenDrive\Apollo) visualization and conversion tools

[HAIS 2025] MapFM: Foundation Model-Driven HD Mapping with Multi-Task Contextual Learning

浏览器端高精地图编辑器，用于 Apollo 自动驾驶平台 | Browser-based HD map editor for Apollo autonomous driving platform

基于 Apollo 11.0 源码的中文技术文档（VitePress）：架构与 Cyber RT、感知/预测/规划/控制、定位与地图、Dreamview、构建工具链、仿真与车辆适配全覆盖。

Lichtblick extension which visualizes data following the standard of the ASAM OpenDRIVE encoded in mcap according to OMEGA Prime specification using the native 3D panel of Lichtblick.

自动化计算 Apollo 场景间坐标偏移 | Automated coordinate offset calculator between Apollo simulation scenes

Fork of generalized-intelligence/GAAS. GAAS is an open-source program designed for fully autonomous VTOL(a.k.a flying cars) and drones. GAAS stands for Generalized Autonomy Aviation System.

Transformer map-matching localization in PyTorch: match detected landmarks against an HD map, solve the SE(2) correction in closed form, and report a measured covariance. The learned counterpart to camera-map-localization — written to be read, with a roadmap to distillation, pruning, INT8 and TensorRT.

C++17 reference implementation of camera map-matching localization: rasterize lane/road-boundary perception to distance transforms, score a 3-DOF (x, y, yaw) pose grid against a polyline map, temporally aggregate, and fuse into an SE(3) Kalman filter. Optional CUDA; KITTI eval, benchmarks, and RViz/PNG visualization.

A lightweight GIS / HD map spatial algorithm platform for spatial query, map matching, geofence detection and route planning.

"Development of Large Language Models (LLMs) for Improving Traffic Safety using HD Maps" for Graduate Student Research Competition (November 2024)