End-to-End Autonomous Driving Risk Analysis: A Behavioural Anomaly Detection Approach-Reference-Cited by-同舟云学术

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End-to-End Autonomous Driving Risk Analysis: A Behavioural Anomaly Detection Approach

Published:2021-03 Issue:3 Volume:22 Page:1650-1662
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Ryan Cian^ORCID,Murphy Finbarr,Mullins Martin

Funder

Vision Inspired Driver Assistance Systems (VI-DAS) a European Commission, Horizon 2020 Research Consortium

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9366629/09154760.pdf?arnumber=9154760

Cited by 36 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. VPE-WSVAD: Visual prompt exemplars for weakly-supervised video anomaly detection;Knowledge-Based Systems;2024-09

2. Energy-Efficient Anomaly Detection and Chaoticity in Electric Vehicle Driving Behavior;Sensors;2024-08-30

3. Time-Series Anomaly Detection in Automated Vehicles Using D-CNN-LSTM Autoencoder;IEEE Transactions on Intelligent Transportation Systems;2024-08

4. Real-time crash prediction on express managed lanes of Interstate highway with anomaly detection learning;Accident Analysis & Prevention;2024-06

5. MetaSem: metamorphic testing based on semantic information of autonomous driving scenes;Software Testing, Verification and Reliability;2024-05

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