Author:
Li Pingfei,Zhu Xinyu,Ren Yao,Tan Zhengping,Hu Wenhao,Zhang You,Xu Chang
Funder
Central Basic Scientific Research Project
Research on the key technologies of in-depth investigation and accident reconstruction of intelligent vehicle
Publisher
Springer Science and Business Media LLC
Reference39 articles.
1. Zhu, B. et al. Review of scenario-based virtual validation methods for automated vehicles. China J. Highway Transport. 32(6), 1–19. https://doi.org/10.19721/j.cnki.1001-7372.2019.06.001 (2019).
2. Song, Y. et al. Research on test and evaluation of ADAS system under lane change cut-in scenario. J. Autom. Eng. 14(03), 363–375 (2024).
3. Sun, D. X. Study on the construction of a lane change cut scene library based on natural driving data. Jilin Univ. https://doi.org/10.27162/d.cnki.gjlin.2021.006689 (2022).
4. Najm, W. G., Smith, J. D. & Yanagisawa, M. Pre-crash scenario typology for crash avoidance research (tech. rep. DOT-HS-810 767). In Washington, DC: National Highway Transportation Safety Administration Research (2007).
5. Hou, Y., Edara, P. & Sun, C. Situation assessment and decision making for lane change assistance using ensemble learning methods. Expert Syst. Appl. 42(8), 3875–3882. https://doi.org/10.1016/j.eswa.2015.01.029 (2015).