# Deep Learning and Geometry Flow Vector Using Estimating Vehicle Cuboid Technology in a Monovision Environment

## Bibliographic summary / 서지 요약

Deep Learning and Geometry Flow Vector Using Estimating Vehicle Cuboid Technology in a Monovision Environment. Sensors, 23(17), 2022. (2022). Published. Bibliographic record maintained by VITA Lab, Hanyang University.

- Authors as listed: B. Noh, T. Lin, S. Lee\*, and T. Jeong\*
- Archive year: 2022
- Category: International Journal
- Status: Published
- Venue / registration record: Sensors, 23(17), 2022.
- Public lab record: https://vita.hanyang.ac.kr/publication-detail/2022-deep-learning-and-geometry-flow-vector-using-estimating-vehicle-cuboid-technology-in-a-mon.html
- Text record: https://vita.hanyang.ac.kr/publication-detail/2022-deep-learning-and-geometry-flow-vector-using-estimating-vehicle-cuboid-technology-in-a-mon.txt
- Markdown record: https://vita.hanyang.ac.kr/publication-detail/2022-deep-learning-and-geometry-flow-vector-using-estimating-vehicle-cuboid-technology-in-a-mon.md
- Original source: https://doi.org/10.3390/s23177504
- DOI: 10.3390/s23177504

## 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.
공개 논문 목록의 서지정보 요약이며 초록이나 검증된 연구 결과 요약이 아닙니다. 구체적인 방법·결과는 연결된 원문을 확인해 주세요.