xinshuoweng/AB3DMOT
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
This project helps autonomous vehicles and robotics systems track multiple objects in real-time. It takes 3D object detection data, typically from LiDAR point clouds, and determines the identity and movement of each object over time. This is used by engineers developing self-driving cars, delivery robots, or other systems that need to understand and react to their dynamic physical environment.
1,824 stars. No commits in the last 6 months.
Use this if you need a fast and accurate baseline system for tracking multiple objects in 3D space for applications like autonomous navigation or robotics.
Not ideal if your application requires only 2D object tracking or if you need a highly complex, custom tracking solution beyond a robust baseline.
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Apr 03, 2024
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