Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/70451
Title: Real-time notification system of moving obstacles in vehicle-camera images using SSD and safe zones
Authors: Panick Chiewcharn
Varin Chouvatut
Keywords: Computer Science
Decision Sciences
Issue Date: 1-Jan-2020
Abstract: © 2020 IEEE. Road accidents are caused by a variety of reasons. Having something cutting in front of the car is one of the causes of the accident. Although the current hardware technology may be available to detect objects to prevent the accidental cause, such technology is still expensive, comparing to relying upon only a front camera. We thus propose a real-time analysis of images captured from a front camera to detect objects cutting in front of the car and create a warning system for the purpose. Our method of detecting and tracking objects names the single shot multi box detector, used with pre-trained object detection models. We contribute situations where objects moving with x-axis acceleration and how our regions of interest are determined, based on the actual measurement. If the object has an acceleration in the x-axis and is in the regions of interest, the system will alert the driver to make the right decision in order to prevent road accidents.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084044569&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/70451
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.


Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.