assuremapingtools
A desktop tool for viewing, editing, and saving road network maps for autonomous vehicle platforms like Autoware.
What is assuremapingtools?
ASSURE mapping tools is a desktop-based application for viewing, editing, and saving road network maps tailored for autonomous vehicle platforms like Autoware. It solves the problem of creating and maintaining accurate digital maps that self-driving systems rely on for navigation. The tool supports various map formats and integrates point cloud data to facilitate comprehensive map development.
Autonomous vehicle developers and researchers working with platforms such as Autoware who need to create, edit, or convert road network maps for simulation and testing.
Developers choose ASSURE mapping tools for its extensive format support, including Lanelet2 and OpenDRIVE, and its ability to handle map semantics like traffic lights and signs. Its cross-platform compatibility via Docker makes it accessible for teams using different operating systems.
Overview
Desktop based tool for viewing, editing and saving road network maps for autonomous vehicle platforms such as Autoware.
Use Cases
Best For
- Editing road network maps for Autoware-based autonomous vehicles
- Converting between map formats like OpenDRIVE to Lanelet2
- Integrating point cloud data with vector maps for autonomous driving
- Creating semantic maps with traffic lights, signs, and lane markings
- Developing and testing autonomous vehicle navigation in simulation environments
- Managing map projections for accurate geographic conversions
Not Ideal For
- Projects requiring immediate support for multi-storey parking or complex indoor maps
- Teams preferring lightweight, native applications without Docker containerization overhead
- Users needing fully integrated ROS bag support for real-time sensor data processing
Pros & Cons
Pros
Supports loading and saving in key formats like OpenPlanner .kml, Lanelet2 .osm, and OpenDRIVE .xodr, enabling seamless integration with autonomous vehicle platforms such as Autoware.
Allows editing of detailed map semantics including lanes, traffic lights, signs, and stop lines, essential for accurate autonomous driving simulation and testing, as listed in the supported features.
Runs on Ubuntu 18.04/22.04 and Windows 10 via Docker with WSL, providing accessibility across different operating systems without extensive native setup.
Facilitates precise conversion between vector maps and Lanelet2 format using projection data, with references to external resources for projection strings, ensuring geographic accuracy.
Cons
Requires Docker installation, nvidia container toolkit on Ubuntu, and manual fixes for line endings on Windows (e.g., changing CRLF to LF in 'ros_entrypoint.sh'), increasing initial configuration complexity.
Lacks support for multi-storey parking maps and has known issues with exporting traffic lights and signs to Lanelet2 due to ID connection requirements, limiting functionality for advanced scenarios.
ROS bag file integration is listed as 'coming soon' and not yet available, which may hinder projects relying on real-time sensor data from ROS ecosystems.
Frequently Asked Questions
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