Crash report data analysis for creating scenario-wise, spatio-temporal attention guidance to support computer vision-based perception of fatal crash risks.
- DOI
- 10.1016/j.aap.2020.105962
- Published
- 2021 Mar
- Container
- Accident; analysis and prevention
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.aap.2020.105962,
title = {Crash report data analysis for creating scenario-wise, spatio-temporal attention guidance to support computer vision-based perception of fatal crash risks.},
author = {Li Y and Karim MM and Qin R and Sun Z and Wang Z and Yin Z},
year = {2021},
journal = {Accident; analysis and prevention},
doi = {10.1016/j.aap.2020.105962},
url = {https://doi.org/10.1016/j.aap.2020.105962}
}RIS
TY - JOUR TI - Crash report data analysis for creating scenario-wise, spatio-temporal attention guidance to support computer vision-based perception of fatal crash risks. AU - Li Y AU - Karim MM AU - Qin R AU - Sun Z AU - Wang Z AU - Yin Z PY - 2021 JO - Accident; analysis and prevention DO - 10.1016/j.aap.2020.105962 UR - https://doi.org/10.1016/j.aap.2020.105962 ER -
APA
Y, L., MM, K., R, Q., Z, S., Z, W., & Z, Y. (2021). Crash report data analysis for creating scenario-wise, spatio-temporal attention guidance to support computer vision-based perception of fatal crash risks.. Accident; analysis and prevention. https://doi.org/10.1016/j.aap.2020.105962
Source records
- pubmed · retrieved 2026-09-26T17:08:32.111Z
- europe-pmc · retrieved 2026-09-26T17:08:32.124Z