Accurate and Efficient Driving Intention Inference Based on Traffic Environment Information and FES-XGB Framework
Author:
Affiliation:
1. The University of Tokyo
Publisher
Information Processing Society of Japan
Subject
General Computer Science
Link
https://www.jstage.jst.go.jp/article/ipsjjip/30/0/30_30/_pdf
Reference35 articles.
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3. [3] Bellet, T. et al.: From semi to fully autonomous vehicles: New emerging risks and ethico-legal challenges for human-machine interactions, Transportation Research Part F: Traffic Psychology and Behaviour, Vol.63, pp.153-164 (2019).
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