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.


    Access

    Download


    Export, share and cite



    Title :

    Comparative Study of Dashcam-Based Vehicle Incident Detection Techniques


    Contributors:


    Publication date :

    2021




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Towards Anomaly Detection in Dashcam Videos

    Haresh, Sanjay / Kumar, Sateesh / Zia, M. Zeeshan et al. | IEEE | 2020


    Fleet dashcam system for autonomous vehicle operation

    CREGO ANDREW SCOTT / JIMENEZ JOSH ALEXANDER / PHILBIN JAMES WILLIAM VAISEY et al. | European Patent Office | 2024

    Free access

    POLICE DASHCAM

    CHEN CHI-HSIU | European Patent Office | 2024

    Free access


    Analysis of Dashcam Video for Determination of Vehicle Speed

    Marquez, Alvaro / Leifer, Jack | SAE Technical Papers | 2020