# Vision-based potential pedestrian risk analysis on unsignalized crosswalk using data mining techniques

## Bibliographic summary / 서지 요약

Vision-based potential pedestrian risk analysis on unsignalized crosswalk using data mining techniques. Applied Sciences, 10(3), 1057, 2020. (2020). Published. Bibliographic record maintained by VITA Lab, Hanyang University.

- Authors as listed: B. Noh, W. No, J. Lee, and D. Lee\*
- Archive year: 2020
- Category: International Journal
- Status: Published
- Venue / registration record: Applied Sciences, 10(3), 1057, 2020.
- Public lab record: https://vita.hanyang.ac.kr/publication-detail/2020-vision-based-potential-pedestrian-risk-analysis-on-unsignalized-crosswalk-using-data-minin.html
- Text record: https://vita.hanyang.ac.kr/publication-detail/2020-vision-based-potential-pedestrian-risk-analysis-on-unsignalized-crosswalk-using-data-minin.txt
- Markdown record: https://vita.hanyang.ac.kr/publication-detail/2020-vision-based-potential-pedestrian-risk-analysis-on-unsignalized-crosswalk-using-data-minin.md
- Original source: https://doi.org/10.3390/app10031057
- DOI: 10.3390/app10031057

## Source and scope / 출처와 범위

This is a bibliographic summary of the public VITA publication list, not an abstract or a summary of verified findings. The archive year is not an exact publication date. Author initials are retained as listed; affiliations are not inferred.
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