Key Challenges and Chinese Solutions for SOTIF in Intelligent Connected Vehicles

Jun Li; Wenbo Shao; Hong Wang

doi:10.1016/j.eng.2023.09.008

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Engineering ›› 2023, Vol. 31 ›› Issue (12) : 27-30. DOI: 10.1016/j.eng.2023.09.008

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Key Challenges and Chinese Solutions for SOTIF in Intelligent Connected Vehicles

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Jun Li, Wenbo Shao, Hong Wang. Key Challenges and Chinese Solutions for SOTIF in Intelligent Connected Vehicles. Engineering, 2023, 31(12): 27‒30 https://doi.org/10.1016/j.eng.2023.09.008

References

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[1]	X. Kuang, F. Zhao, H. Hao, Z. Liu. Intelligent connected vehicles: the industrial practices and impacts on automotive value-chains in China. Asia Pac Bus Rev, 24 (1) ( 2018), pp. 1-21 CrossRef Google scholar

[2]

National Transportation Safety Board. Highway accident report:collision between vehicle controlled by developmental automated driving system and pedestrian, Tempe, Arizona, March 18, 2018 [Internet]. Washington, DC: The National Academies of Sciences, Engineering, and Medicine; 2019 Nov 19 [ cited 2022 Dec 20]. Available from: https://trid.trb.org/view/1751168.

[3]	ca. gov [Internet]. Sacramento: The California Department of Motor Vehicles; [cited 2022 Dec 29]. Available from: https://www.dmv.ca.gov/portal/vehicle-industry-services/autonomous-vehicles/testing-autonomous-vehicles-with-a-driver/.

[4]	ISO 21448:Road vehicles—safety of the intended functionality. International standard. Geneva: The International Organization for Standardization; 2022.

[5]	W. Shao, J. Li, Y. Zhang, H. Wang. Key technologies to ensure the safety of the intended functionality for intelligent vehicles. Automot Eng, 44 (9) ( 2022), pp. 1289-1304(Chinese).

[6]	Ma Z, Yang Y, Wang G, Xu X, Shen H, Zhang M. Rethinking open-world object detection in autonomous driving scenarios. In: Proceedings of the 30th ACM International Conference on Multimedia; 2022 Oct 10-14; Lisboa, Portugal. New York City: Association for Computing Machinery; 2022. p. 1279-88.

[7]	N. Kalra, S.M. Paddock. Driving to safety: how many miles of driving would it take to demonstrate autonomous vehicle reliability?. Transp Res Part A, 94 ( 2016), pp. 182-193

[8]	D. Li, H. Gao. A hardware platform framework for an intelligent vehicle based on a driving brain. Engineering, 4 (4) ( 2018), pp. 464-470

[9]	J. Wang, H. Huang, K. Li, J. Li. Towards the unified principles for level 5 autonomous vehicles. Engineering, 7 (9) ( 2021), pp. 1313-1325

[10]

Reschka

, Böhmer

, Nothdurft

, Hecker

, Lichte

, Maurer

. A surveillance and safety system based on performance criteria and functional degradation for an autonomous vehicle. Sep 16-19; Anchorage AK, USA.Proceedings of 2012 15th International IEEE Conference on Intelligent Transportation Systems; 2012 Piscataway: IEEE; 2012. p. 237-42.

[11]	Top 30 self driving technology and car companies [Internet]. GreyB; 2017 Sep 6 [ cited 2023 Aug 30]. Available from: https://www.greyb.com/blog/autonomous-vehicle-companies/.

[12]	Hu Y, Yang J, Chen L, Li K, Sima C, Zhu X, et al. Planning-oriented autonomous driving. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition; 2023 Jun 18-22; Vancouver BC, Canada. Piscataway: IEEE; 2023. p. 17853-62.

[13]	D. Omeiza, H. Webb, M. Jirotka, L. Kunze. Explanations in autonomous driving: a survey. IEEE Trans Intell Transp Syst, 23 (8) ( 2022), pp. 10142-10162 DOI: 10.1109/tits.2021.3122865

[14]	M. Abdar, F. Pourpanah, S. Hussain, D. Rezazadegan, L. Liu, M. Ghavamzadeh, et al.. A review of uncertainty quantification in deep learning: techniques, applications and challenges. Inf Fusion, 76 ( 2021), pp. 243-297

Funding

the National Natural Science Foundation of China(52072215); the National Natural Science Foundation of China(U1964203); the National Natural Science Foundation of China(52221005); the National Key Research and Development Program of China(2022YFB2503003); the National Key Research and Development Program of China(2020YFB1600303)