Modeling Required Driver Attention Level Based On Environmental Risk Factors Using Deep Convolutional Neural Networks
Understanding the level of environmental risk using vehicle-mounted camera traffic scenes is useful in advanced driver assistance systems (ADAS) to improve vehicle safety. We propose a fast, memory-efficient computer vision based environmental risk perception method using a weakly supervised convolu...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Society of Automotive Engineers of Japan, Inc.
2021-10-01
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| Series: | International Journal of Automotive Engineering |
| Online Access: | https://www.jstage.jst.go.jp/article/jsaeijae/12/4/12_20214935/_article/-char/ja |