Performance evaluation of a state-of-the-art automotive radar and corresponding modeling approaches based on a large labeled dataset-Reference-Cited by-同舟云学术

Performance evaluation of a state-of-the-art automotive radar and corresponding modeling approaches based on a large labeled dataset

Published:2021-08-12 Issue: Volume: Page:1-20
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Muckenhuber Stefan¹²^ORCID,Museljic Eniz²,Stettinger Georg²

Affiliation:

1. Department of Geography and Regional Science, University of Graz, Graz, Austria

2. Department E, Virtual Vehicle Research GmbH, Graz, Austria

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2021.1959328

Reference64 articles.

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2. Arage, A., Steffens, W. M., Kuehnle, G. & Jakoby, R. (2006). ‘Effects of Water and Ice Layer on Automotive Radar’ in Proc. German Microw. Conf,

3. Radarsensormodell für den virtuellen Entwicklungsprozess

4. Breiman, L. (2001). Random Forests. Machine Learning 45, 5–32. https://doi.org/10.1023/A:1010933404324

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