Vehicle crash mitigation strategy in unavoidable collision scenarios: focusing on motion planning by considering a generalized crash severity model-Reference-Cited by-同舟云学术

Vehicle crash mitigation strategy in unavoidable collision scenarios: focusing on motion planning by considering a generalized crash severity model

Published:2022-11-12 Issue:12 Volume:44 Page:
ISSN:1678-5878
Container-title:Journal of the Brazilian Society of Mechanical Sciences and Engineering
language:en
Short-container-title:J Braz. Soc. Mech. Sci. Eng.

Author:

Li Daofei^ORCID,Zhang Jiajie^ORCID,Xiao Bin^ORCID,Tang Binbin^ORCID,Hu Zhaohan

Funder

Department of Science and Technology of Zhejiang

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,General Engineering,Aerospace Engineering,Automotive Engineering,Industrial and Manufacturing Engineering,Applied Mathematics

Link

https://link.springer.com/content/pdf/10.1007/s40430-022-03893-1.pdf

Reference33 articles.

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2. National Center for Statistics and Analysis (2021) Speeding: 2019 data (Traffic Safety Facts. Report No. DOT HS 813 194). Accessed 29 March 2022. https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/813194

3. CATARC (2021) Tongji University, Baidu Apollo: Automated Vehicle Safety: a White Paper. Accessed 17 December 2021. https://www.catarc.ac.cn/detail/60575b618c8d43999bba0f78a20d91ff

4. González D, Pérez J, Milanés V, Nashashibi F (2015) A review of motion planning techniques for automated vehicles. IEEE Transact Intell Transport Syst 17(4):1135–1145

5. Schwarting W, Alonso-Mora J, Rus D (2018) Planning and decision-making for autonomous vehicles. Annu Rev Control, Robotics, Autonomou Syst 1:187–210

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