Jongwiriyanurak, N;
Zeng, Z;
Wang, M;
Haworth, J;
Tanaksaranond, G;
Boehm, J;
(2023)
Framework for Motorcycle Risk Assessment Using Onboard Panoramic Camera.
In: Beecham, R and Long, JA and Smith, D and Zhao, Q and Wise, S, (eds.)
12th International Conference on Geographic Information Science (GIScience 2023).
(pp. 44:1-44:7).
Schloss Dagstuhl -- Leibniz-Zentrum für Informatik: Dagstuhl, Germany.
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Abstract
Traditional safety analysis methods based on historical crash data and simulation models have limitations in capturing real-world driving scenarios. In this experiment, panoramic videos recorded from a motorcyclist’s helmet in Bangkok, Thailand, were narrated using an image-to-text model and then put into a Large Language Model (LLM) to identify potential hazards and assess crash risks. The framework can assess static and moving objects with the potential for early warning and incident analysis. However, the limitations of the existing image-to-text model cause its inability to handle panoramic images effectively.
| Type: | Proceedings paper |
|---|---|
| Title: | Framework for Motorcycle Risk Assessment Using Onboard Panoramic Camera |
| Event: | 12th International Conference on Geographic Information Science (GIScience 2023) |
| ISBN-13: | 9783959772884 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.4230/LIPIcs.GIScience.2023.44 |
| Publisher version: | https://doi.org/10.4230/LIPIcs.GIScience.2023.44 |
| Language: | English |
| Additional information: | This is an Open Access paper published under a Creative Commons Attribution 4.0 International (CC BY 4.0) Licence (https://creativecommons.org/licenses/by/4.0/). |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10178284 |
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