Comparative Study of Dashcam-Based Vehicle Incident Detection Techniques

Abstract

With the increase in world population demand for the vehicle is also growing which is thus leading to a higher number of crashes on road. These crashes lead to personal, economical, and property losses. To make roads safer and reduce the number of crashes on the roads, intense studies are being carried out to anticipate, prevent, and detect incidents. These researches use data collected from video cameras and sensors installed on roadsides and within vehicles. The crash data obtained from these sources can be used to investigate the severity of the situation and human behaviors. In this paper, various video-based road incident identification techniques are overviewed that used dashcams installed within vehicles as their data source. This paper puts forward an outline of the current works in the area of vehicular crash detection and underlines the drawbacks and prospects of the study.

Keywords

• crash detection
• driver behavior
• particle filter
• dashboard camera
• video processing
• road safety
• computer vision