eddyhkchiu/DMSTrack
[ICRA2024] Official code of the paper "Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter"
This project helps autonomous driving systems accurately track multiple moving objects in 3D space by combining data from several connected autonomous vehicles (CAVs). It takes raw detection data from different vehicle sensors as input and outputs highly precise 3D tracking information for all nearby objects, even with reduced communication. Operations engineers and researchers working on self-driving car perception will find this useful.
No commits in the last 6 months.
Use this if you need to improve the accuracy of 3D multi-object tracking in autonomous vehicles while significantly reducing the data exchange between connected cars.
Not ideal if your application does not involve cooperative perception between multiple vehicles or if you are not working with 3D object tracking for autonomous systems.
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Language
Python
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Last pushed
Jan 31, 2024
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