multiple-object-tracking-lidar
A C++ ROS package for real-time detection, tracking, and classification of static and dynamic objects from LIDAR point clouds.
What is multiple-object-tracking-lidar?
Multiple Object Tracking LIDAR is a C++ ROS package that detects, tracks, and classifies multiple objects from LIDAR point clouds in real-time. It processes 3D point cloud data to identify both static and dynamic objects, which is critical for perception systems in autonomous vehicles and robotics. The system uses clustering algorithms and Kalman Filters for stable object tracking and data association.
Robotics engineers and researchers working on autonomous vehicles, drones, or robotic systems that require real-time object tracking from LIDAR sensors. It's particularly useful for those using ROS and PCL for perception tasks.
Developers choose this package for its real-time performance, robustness in cluttered environments, and integration with ROS and PCL. It provides a complete pipeline from point cloud processing to object tracking with stable ID management, which is often more reliable than simpler tracking approaches.
Overview
C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
Use Cases
Best For
- Real-time object tracking for autonomous vehicle perception systems
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