ROS 2 Autoware Tool for Map Georeferencing and OSM Fusion
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Updated
Jul 15, 2024 - C++
ROS 2 Autoware Tool for Map Georeferencing and OSM Fusion
Whiteboard for Driving Scenarios🚗
Toolbox for Map Conversion and Scenario Creation for Autonomous Vehicles.
OSMVisualizer is a lightweight ROS 2 node with minimal dependencies designed to visualize OpenStreetMap (OSM) data in Foxglove, Lichtblick, or RViz2.
Browser-based LiDAR tools for SLAM map correction, point-cloud analysis, and editable Lanelet2 vector-map drafting. Runs locally with Rust + WebAssembly.
ROS2 package to visualize .pcd file and .osm file (openstreetmap) and to convert .osm file to occupancy map
ROS 2 node designed for rendering OpenStreetMap (OSM) data in RViz2 and path routing. It supports elevation changes along the Z-axis, enabling more accurate terrain visualization.
LiDAR-inertial SLAM pipeline with Lanelet2 geometry export — KISS-ICP odometry, GTSAM graph optimization, Scan Context loop closure, ESKF fusion, Lanelet2 OSM — evaluated on KITTI and nuScenes
Your favorite map handling framework for automated driving, lanelet2, is now standalone and available on Windows, Linux and macOS.
LiDAR Mobility Map Generator is a map-generation tool for autonomous vehicles and autonomous mobile robots operating in closed areas and free spaces. It accepts either LiDAR SLAM output or rosbag2 data , and automatically generates Vector Maps
Multi-format road-map conversion and diagnostics for autonomous driving: Lanelet2, OpenDRIVE, OSM and semantic raster products.
Turn any Android phone into an HD mapping device for self-driving cars. On-device camera+GNSS+IMU to lane-level HD maps with OpenDRIVE/Lanelet2/GeoJSON export. By Sherin Joseph Roy / blurabbit.com
🛣️ Live on-device top-down lane mapping from a dash-mounted phone. ARCore + LiteRT lane detection, lane vectorization, and HD-map exports (GeoJSON, OpenDRIVE, Lanelet2, KML) plus ML dataset export. 100% offline. Kotlin/Android.
Production-grade Python engineering playbooks for HD vehicle mapping & autonomous-vehicle spatial data — HD map architecture, lane geometry, and sensor fusion.
Autonomous Vehicle Project SLAM Stack
ROS 2 LiDAR SLAM pipeline producing 0.05 m occupancy grid maps over 500 m of trajectory, with Lanelet2 HD map generation from GNSS data.
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