lanelet2

FISS & FISS+: Fast Iterative Search and Sampling trajectory planners for autonomous driving (with FOP baselines). C++17 core, Python, ROS 2 / ROS 1, Lanelet2, CARLA, MPC

ROS 2 Autoware Tool for Map Georeferencing and OSM Fusion

Whiteboard for Driving Scenarios🚗

Moved to SS47816/fiss_planner (FISS Planner): FISS, FISS+ and FOP in one C++17 core. pip install fiss-planner

Toolbox for Map Conversion and Scenario Creation for Autonomous Vehicles.

Workflow to convert an OSM file from OpenStreetMap into a .pcd file, lanelet2 file and a 3D Model suitable for Autoware and AWSIM.

Open maps and models of the ZalaZONE automotive proving ground and the Széchenyi István University Campus (Győr)

Browser-based LiDAR tools for SLAM map correction, point-cloud analysis, and editable Lanelet2 vector-map drafting. Runs locally with Rust + WebAssembly.

OSMVisualizer is a lightweight ROS 2 node with minimal dependencies designed to visualize OpenStreetMap (OSM) data in Foxglove, Lichtblick, or RViz2.

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.

🛣️ 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.

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

Veer Studio - The spatial compiler for everyday autonomy.

A Rust-native vector map toolkit for autonomous driving and robotics.

Production-grade Python engineering playbooks for HD vehicle mapping & autonomous-vehicle spatial data — HD map architecture, lane geometry, and sensor fusion.