Zhefan-Xu/LV-DOT
A LiDAR-visual dynamic obstacle detection and tracking framework for autonomous robots using camera and LiDAR sensor fusion.
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The LV-DOT framework detects and tracks dynamic obstacles in real-time for robots with constrained computational resources. It supports camera-only, LiDAR-only, and combined LiDAR-camera configurations. The system is designed for autonomous robot navigation and collision avoidance, implemented in C++ with Python wrappers and ROS integration.
Frequently asked
- What is Zhefan-Xu/LV-DOT?
- A LiDAR-visual dynamic obstacle detection and tracking framework for autonomous robots using camera and LiDAR sensor fusion.
- Is LV-DOT open source?
- Yes — Zhefan-Xu/LV-DOT is open source, released under the MIT license.
- What language is LV-DOT written in?
- Zhefan-Xu/LV-DOT is primarily written in C++.
- How popular is LV-DOT?
- Zhefan-Xu/LV-DOT has 464 stars on GitHub.
- Where can I find LV-DOT?
- Zhefan-Xu/LV-DOT is on GitHub at https://github.com/Zhefan-Xu/LV-DOT.