Unsupervised Random Forest Learning for Traffic Scenario Categorization
Author: | Friedrich KruberORCiD, Jonas WurstORCiD, Michael BotschORCiD, Samarjit ChakrabortyORCiD |
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Language: | English |
Document Type: | Part of a Compilation / Book Chapter |
Year of first Publication: | 2023 |
published in (English): | Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems |
Editor(s): | Vipin Kumar Kukkala, Sudeep Pasricha |
Publisher: | Springer |
Place of publication: | Cham |
ISBN: | 978-3-031-28016-0 |
ISBN: | 978-3-031-28015-3 |
First Page: | 565 |
Last Page: | 590 |
Open Access: | nein |
Tag: | Categorization and clustering; Random forest; Traffic scenarios; Unsupervised learning |
Related Identifier: | https://doi.org/10.1007/978-3-031-28016-0_20 |
Faculties / Institutes / Organizations: | Fakultät Elektro- und Informationstechnik |
CARISSMA Institute of Automated Driving (C-IAD) | |
Release Date: | 2023/09/04 |