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mahalanobis 3d multi object tracking · eddyhkchiu

Probabilistic 3D multi-object tracking code for autonomous driving.

3d-multi-object-trackingautonomous-drivingcomputer-visionkalman-filterrobotics
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Overview

Probabilistic 3D multi-object tracking code for autonomous driving.

Publisher summary: “[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…”

Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.

Project information

Maintainer
eddyhkchiu
Primary language
Python
Repository code license
Not specified
Model-weight license
Not recorded
Dataset license
Not recorded
Hardware design license
Not recorded
Maintenance
Not archived in the last recorded metadata
Last observed repository push
2024-01-29

Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.

Documentation sections

  • Probabilistic 3D Multi-Object Tracking for Autonomous Driving
  • Abstract
  • Quantitative Results
  • Validation Set Results
  • Test Set Results
  • Qualitative Results

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