Tracking Extended Objects in Noisy Point Clouds with Application in Telepresence Systems

Tracking Extended Objects in Noisy Point Clouds with Application in Telepresence Systems

Technology (General)

We discuss theory and application of extended object tracking. This task is challenging as sensor noise prevents a correct association of the measurements to their sources on the object, the shape itself might be unknown a priori, and due to occlusion effects, only parts of the object are visible at a given time. We propose an approach to track the parameters of arbitrary objects, which provides new solutions to the above challenges, and marks a significant advance to the state of the art.

Faion, Florian

https://www.ksp.kit.edu/9783731505174

KIT Scientific Publishing

2016

Baihaqi

Creative Commons

PDF

English

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