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

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