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Wang, Qingfan
1
; Xu, Dongyang
1
;
Zhou, Qing
1
;
Nie, Bingbing
1
A knowledge distillation-based training framework improves the accuracy of pre-crash occupant injury prediction models with high computation efficiency
Proceedings of the 2023 International IRCOBI Conference on the Biomechanics of Injury
Affiliations
1
School of Vehicle and Mobility at
Tsinghua University
and State Key Laboratory of Intelligent Green Vehicle and Mobility, China
Links
URL:
http://www.ircobi.org/wordpress/downloads/irc23/pdf-files/23100.pdf
Cited Works (2)
Year
Entry
2020
Chen W, Zhou Q, Gan S, Nie B. Generating a large-scale numerical database of motor vehicle crashes for rapid injury severity prediction. In:
Proceedings of the 2020 International IRCOBI Asia Conference on the Biomechanics of Injury
. 2020; Beijing, China.25-28.
2019
Bance I, Nie B. A framework for near real-time occupant injury risk prediction using a sequence-to-sequence deep learning approach. In:
Proceedings of the 2019 International IRCOBI Conference on the Biomechanics of Injury
. September 11-13, 2019; Florence, Italy.86-87.