Elshafei, A;
Romano, D;
(2023)
A Panoramic Review of Situational Awareness Monitoring Systems.
In:
ACM International Conference Proceeding Series.
(pp. pp. 56-61).
ACM (Association for Computing Machinery): Wuhan, China.
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Abstract
Autonomous vehicles require a human-machine interaction (HMI) system for safe control transition during takeover requests (TORs). Vital to the HMI system is real-time monitoring of drivers' situational awareness, across diverse scenarios, without pre-calibration. This paper reviews situational awareness metrics, and considers sensor and computational model limitations, highlighting current gaps. We present a classification model categorizing awareness measurement methods - session-specific, online, offline - suitable for various applications, aiding researchers in choosing appropriate models.
Type: | Proceedings paper |
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Title: | A Panoramic Review of Situational Awareness Monitoring Systems |
Event: | ICRSA 2023: 2023 the 6th International Conference on Robot Systems and Applications |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/3655532.3655539 |
Publisher version: | https://doi.org/10.1145/3655532.3655539 |
Language: | English |
Additional information: | This work is licensed under a Creative Commons Attribution International 4.0 License. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities > Dept of Information Studies |
URI: | https://discovery.ucl.ac.uk/id/eprint/10215514 |
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