mahalanobis_3d_multi_object_tracking
[NeurIPS Workshop 2019] Official code of the paper "Probabilistic 3D Multi-Object Tracking for Autonomous Driving." First Place of the First NuScenes Tracking Challenge in the AI Driving Olympics Workshop of NeurIPS.
Track multiple objects in 3D space for autonomous driving using a proven online tracking method with provided source code.
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Free · no card · unsubscribe anytime[NeurIPS Workshop 2019] Official code of the paper "Probabilistic 3D Multi-Object Tracking for Autonomous Driving." First Place of the First NuScenes Tracking Challenge in the AI Driving Olympics Workshop of NeurIPS.
mahalanobis_3d_multi_object_tracking has 399 stars on GitHub. It has been forked 79 times. mahalanobis_3d_multi_object_tracking is written mainly in Python. It has been in active development since 2019. Its main topics are 3d-multi-object-tracking, autonomous-driving, computer-vision, kalman-filter.
What is mahalanobis_3d_multi_object_tracking?
[NeurIPS Workshop 2019] Official code of the paper "Probabilistic 3D Multi-Object Tracking for Autonomous Driving." First Place of the First NuScenes Tracking Challenge in the AI Driving Olympics Workshop of NeurIPS.
Is mahalanobis_3d_multi_object_tracking open source?
mahalanobis_3d_multi_object_tracking is an open-source project.
Is mahalanobis_3d_multi_object_tracking free?
Yes. mahalanobis_3d_multi_object_tracking is free and open source — you can use, modify and self-host it.
What language is mahalanobis_3d_multi_object_tracking written in?
mahalanobis_3d_multi_object_tracking is written mainly in Python.
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