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Automatically detect crosswalks from satellite view images:A deep learning approach with ground truth verification

Joseph Luttrell IV Yuanyuan Zhang Chaoyang Zhang

交通科学与技术（英文）2024，Vol.16Issue(4)：165-176,12.

交通科学与技术（英文）2024，Vol.16Issue(4)：165-176,12.DOI:10.1016/j.ijtst.2024.01.006

Automatically detect crosswalks from satellite view images:A deep learning approach with ground truth verification

Joseph Luttrell IV ¹Yuanyuan Zhang ²Chaoyang Zhang³

作者信息

1. University of Southern Mississippi,Hattiesburg,MS 39406,United States
2. School of Leadership,The University of Southern Mississippi,Long Beach,MS 39560,United States
3. School of Computing Sciences and Computer Engineering,The University of Southern Mississippi,Hattiesburg,MS 39406,United States
折叠

摘要

关键词

Crosswalk/Satellite view image/Street view image/Deep learning/pedestrian facility data

Key words

Crosswalk/Satellite view image/Street view image/Deep learning/pedestrian facility data

引用本文复制引用

Joseph Luttrell IV,Yuanyuan Zhang,Chaoyang Zhang..Automatically detect crosswalks from satellite view images:A deep learning approach with ground truth verification[J].交通科学与技术（英文）,2024,16(4):165-176,12.

基金项目

The authors acknowledge support for this study from Grant No.NCHRP-IDEA 209 under the Innovations Deserving Exploratory Analysis(IDEA)Program of the Transportation Research Board's National Cooperative Highway Research Program. （IDEA）

交通科学与技术（英文）

ISSN：2046-0430

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