An accident prediction architecture based on spatio‐clock stochastic and hybrid model for autonomous driving safety-Reference-Cited by-同舟云学术

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An accident prediction architecture based on spatio‐clock stochastic and hybrid model for autonomous driving safety

Published:2021-08-08 Issue: Volume: Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Wang Jinyong¹²,Huang Zhiqiu¹²,Huang Xiaowei³,Wang Tiexin¹²,Shen Guohua¹²,Xie Jian¹²

Affiliation:

1. College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China

2. Key Laboratory of Safety‐Critical Software Ministry of Industry and Information Technology Nanjing China

3. Department of Computer Science University of Liverpool Liverpool UK

Funder

National Basic Research Program of China

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6550

Reference44 articles.

1. WatanabeK KangE LinCW ShiraishiS. Runtime monitoring for safety of intelligent vehicles. Paper presented at: Proceedings of the 55th Annual Design Automation Conference; 2018:1‐6; ACM San Francisco CA USA.

2. Formal specification and verification of autonomous robotic systems: a survey;Luckcuck M;ACM Comput Surv,2019

3. WuM ZengH WangC YuH. Safety guard: runtime enforcement for safety‐critical cyber‐physical systems. Paper presented at: Proceedings of the 2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC); 2017:1‐6. Austin TX: IEEE.

4. KamaliM LinkerS FisherM. Modular verification of vehicle platooning with respect to decisions space and time. Paper presented at: Proceedings of the International Workshop on Formal Techniques for Safety‐Critical Systems; 2018:18‐36. Gold Coast Australia: Springer.

5. Synthesizing and verifying controllers for multi‐lane traffic maneuvers;Bochmann GV;Formal Aspects Comput,2017

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1. Artificial intelligence based object detection and traffic prediction by autonomous vehicles – A review;Expert Systems with Applications;2024-12

2. Artificial Intelligence and Software Modeling Approaches in Autonomous Vehicles for Safety Management: A Systematic Review;Information;2023-10-11

3. Application of rough set theory and machine learning algorithms in predicting accident outcomes in the Indian petroleum industry;Concurrency and Computation: Practice and Experience;2022-08-07

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