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Conference Paper
Multi-Log Analysis of Vehicle Accidents for Public Safety Services
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- Authors
- Hyunho Park, Eunjung Kwon, Sungwon Byon, Eui-Suk Jung, Yong-Tae Lee, Gi-Yong Kim
- Issue Date
- 2018-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2018, pp.1040-1042
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- In recent days, technologies for detecting vehicle accidents (e.g., vehicle collision and drowsy driving) attract public attention for supporting public safety. This paper proposes multi-log analysis of vehicle accidents (MAVA) for public safety services. The MAVA is the technology for detecting and predicting vehicle accidents based on sensor data, image data, investigation information, and public safety information. The MAVA also provides information for avoiding and preparing vehicle accidents. The MAVA can help to reduce victims of vehicle accidents.
- KSP Keywords
- Drowsy driving, Image data, Public safety, Safety information, Vehicle accidents, Vehicle collision, log analysis, sensor data