About this document
Automatic Accident Detection Using CVIS by Somagutta Jahnavi is a document available to read on EtoBox.
This document summarizes a research article that proposes an automatic car accident detection method based on Cooperative Vehicle Infrastructure Systems (CVIS) and machine vision. It establishes a new image dataset (CAD-CVIS) to improve accident detection accuracy using intelligent roadside devices in CVIS. It then develops a deep learning model called YOLO-CA using CAD-CVIS to detect accidents in images. Experimental results show YOLO-CA can detect car accidents in 0.0461 seconds with 90.02% average precis
- Author
- Somagutta Jahnavi
- Language
- EN