Effects of feature selection on lane-change maneuver recognition: an analysis of naturalistic driving data
Purpose - Feature selection is crucial for machine learning to recognize lane-change (LC) maneuver as there exist a large number of feature candidates. Blindly using feature could take up large storage and excessive computation time, while insufficient feature selection would cause poor performance....
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2019-02-01
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| Series: | Journal of Intelligent and Connected Vehicles |
| Subjects: | |
| Online Access: | https://www.emeraldinsight.com/doi/pdfplus/10.1108/JICV-09-2018-0010 |