On-Board Video-Evaluation Algorithm of Transverse Safety Clearance for Ahead Road-Vehicle
Dublin Core
Title
On-Board Video-Evaluation Algorithm of Transverse Safety Clearance for Ahead Road-Vehicle
Subject
computer vision
traffic flow
intensity
congestion
virtual detection method
augmented reality (AR)
video analysis
Description
Traffic flows are becoming more intense over time as a result of global automobilization. Road transport specialists are developing and analyzing different approaches to control traffic, to design and to build new highways. Decreasing total amount of accidents and congestion avoidance on a road are the main goals of this research. General traffic flow features and car localization are the most important types of data to be obtained, processed and analyzed in modern conditions as cars are highly maneuverable. Proper usage of this data allows building new high-quality traffic control systems taking in account all of its significant features. We have developed a system for video-processing from camera fixed on car torpedo. Research presented in this paper suggests an algorithm of transverse safety clearance evaluation by analyzing a video from vehicle on-board camera.
Creator
Yashina, Marina V.
Mokhov, Alexey I.
Belova, Maria A.
Kostsov, Alexey V.
Pospelov, Pavel I.
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 10 (2020); pp. 128-138
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2020-06-30
Rights
Copyright (c) 2020 Marina V. Yashina
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Identifier
Citation
Marina Yashina V. et al., On-Board Video-Evaluation Algorithm of Transverse Safety Clearance for Ahead Road-Vehicle, International Association of Online Engineering (IAOE), Vienna, Austria, 2020, accessed November 8, 2024, https://igi.indrastra.com/items/show/1729