Road accidents are the leading cause of death, resulting in thousands of deaths and major financial suffering in our society. Potential collisions between automobiles and pedestrians should be detected prior to their occurrence in order to offer early warnings. In recent years, numerous solutions have been presented to avoid vehicle-pedestrian accidents. However, the majority of these systems need substantial infrastructure, which is costly, difficult to implement on a large scale and incurs heavy maintenance. We propose a collision avoidance system that utilizes smartphones and requires no additional hardware resources. Our proposed system includes a lightweight app that generates trajectories as a prediction of future locations on the user’s side and sends it to the cloud. The trajectory updates are processed on the cloud for finding potential collisions and sending alerts to the possibly colliding devices in advance. The smartphone app is power consumption-wise less expensive as it requires only location updates and does not intervene with any other sensor. The real road experiments show impressive accuracy in generating timely, relevant warnings.


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    Title :

    A Real-time Vehicle–Pedestrian Collision Avoidance System Exploiting Lightweight Smartphone App


    Contributors:


    Publication date :

    2023-10-10


    Size :

    1899320 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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