Aslan
An open-source full-stack ROS-based software for self-driving applications in low-speed urban environments.
What is Aslan?
Project Aslan is an open-source full-stack software based on the ROS framework, designed for self-driving applications in low-speed urban environments. It provides a complete solution including simulation, end-to-end autonomous driving software, and a user-friendly GUI to facilitate research and development.
Researchers, academics, and developers working on autonomous vehicle projects, particularly those focused on low-speed urban applications and simulation-based testing.
It offers a modular, simulation-ready platform with comprehensive features like sensor integration, path planning, and emergency stop, accelerating autonomous driving research without requiring proprietary systems.
Overview
Open source self-driving software for low speed environments
Use Cases
Best For
- Researching autonomous driving algorithms in low-speed urban scenarios
- Simulating self-driving vehicles using Gazebo or IPG CarMaker
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