Focusing on Discrimination Between Road Conditions and Weather in Driving Video Analysis

Hanwei Zhang, Hiroshi Kawasaki, Tsunenori Mine, Shintaro Ono

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

We study an often ignored problem, the discrimination between road conditions and weather in driving videos, which may possibly lead to imperceptible errors on driving data analysis. We explore BDD100K, a common driving video database, and Kyushu Driving Data, a huge driving database created by ourselves. In our experiments, we use road condition labels and weather labels respectively to train several deep models on driving image sequences and demonstrate the difference between the two varieties of labels. The results indicate a significant difference between the two varieties, which leads to different performance of deep models.

本文言語英語
ホスト出版物のタイトルFrontiers of Computer Vision - 27th International Workshop, IW-FCV 2021, Revised Selected Papers
編集者Hieyong Jeong, Kazuhiko Sumi
出版社Springer Science and Business Media Deutschland GmbH
ページ70-80
ページ数11
ISBN(印刷版)9783030816377
DOI
出版ステータス出版済み - 2021
イベント27th International Workshop on Frontiers of Computer Vision, IW-FCV 2021 - Virtual, Online
継続期間: 2 22 20212 23 2021

出版物シリーズ

名前Communications in Computer and Information Science
1405
ISSN(印刷版)1865-0929
ISSN(電子版)1865-0937

会議

会議27th International Workshop on Frontiers of Computer Vision, IW-FCV 2021
CityVirtual, Online
Period2/22/212/23/21

All Science Journal Classification (ASJC) codes

  • コンピュータ サイエンス(全般)
  • 数学 (全般)

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