Generating a large-scale numerical database of motor vehicle crashes for rapid injury severity prediction

Affiliations

¹School of Vehicle and Mobility at Tsinghua University, China

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Cited Works (5)

Year	Entry
2013	Katagiri M, Miyazaki Y, Pramudita J, Ujihashi S. Development of occupant injury prediction algorithms for advanced automatic collision notification by numerical crash reconstructions. In: Proceedings of the 23rd International Technical Conference on the Enhanced Safety of Vehicles (ESV). May 27-30, 2013; Seoul, South Korea.
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.
2000	Eppinger R, Sun E, Kuppa S, Saul R. Supplement: Development of Improved Injury Criteria for the Assessment of Advanced Automotive Restraint Systems - II. Washington, DC: National Highway Traffic Safety Administration (NHTSA); March 2000.
2009	Hampton CE, Gabler HC. NASS/CDS delta-V estimates: the influence of enhancements to the WinSmash crash reconstruction code. In: 53rd Annual Proceedings, Association for the Advancement of Automotive Medicine (AAAM). October 5-7, 2009; Baltimore, MD.91-102.
2007	German A, Comeau J-L, McClafferty KJ, Shkrum MJ, Tiessen PF. Event data recorders in the analysis of frontal impacts. In: 51st Annual Proceedings, Association for the Advancement of Automotive Medicine (AAAM). October 15-17, 2007; Melbourne, Australia.225-243.

Cited By (3)

Year	Entry
2022	Wang Q, Xu D, Shang S, Nie B. An adaptive transferring framework to accelerate the development of occupant injury prediction algorithms. In: Proceedings of the 2022 International IRCOBI Conference on the Biomechanics of Injury. September 14-16, 2022; Porto, Portugal.146-147.
2023	Wang Q, Xu D, Zhou Q, Nie B. A knowledge distillation-based training framework improves the accuracy of pre-crash occupant injury prediction models with high computation efficiency. In: Proceedings of the 2023 International IRCOBI Conference on the Biomechanics of Injury. September 13-15, 2023; Cambridge, United Kingdom.845-846.
2024	Shen J, Wang Q, Zhou Q, Nie B. A training framework for occupant injury prediction algorithms to enhance the monotonicity between impact velocity and injury severity. In: Proceedings of the 2024 International IRCOBI Conference on the Biomechanics of Injury. September 11-13, 2024; Stockholm, Sweden.1003-1005.