Online learning for 3D LiDAR-based human detection: experimental analysis of point cloud clustering and classification methods

Autonomous Robots, pp. 147-164, 2019.

Cited by: 0|Bibtex|Views6|DOI:https://doi.org/10.1007/s10514-019-09883-y
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Other Links: academic.microsoft.com|dblp.uni-trier.de|link.springer.com

Abstract:

This paper presents a system for online learning of human classifiers by mobile service robots using 3D LiDAR sensors, and its experimental evaluation in a large indoor public space. The learning framework requires a minimal set of labelled samples (e.g. one or several samples) to initialise a classifier. The classifier is then retrained ...More

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