Share Email Print
cover

Proceedings Paper

Virtual expansion of the technical vision system for smart vehicles based on multi-agent cooperation model
Author(s): Nina Krapukhina; Roman Senchenko; Nikolay Kamenov
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Road safety and driving in dense traffic flows poses some challenges in receiving information about surrounding moving object, some of which can be in the vehicle’s blind spot. This work suggests an approach to virtual monitoring of the objects in a current road scene via a system with a multitude of cooperating smart vehicles exchanging information. It also describes the intellectual agent model, and provides methods and algorithms of identifying and evaluating various characteristics of moving objects in video flow. Authors also suggest ways for integrating the information from the technical vision system into the model with further expansion of virtual monitoring for the system’s objects. Implementation of this approach can help to expand the virtual field of view for a technical vision system.

Paper Details

Date Published: 19 December 2017
PDF: 10 pages
Proc. SPIE 10613, 2017 International Conference on Robotics and Machine Vision, 106130B (19 December 2017); doi: 10.1117/12.2299987
Show Author Affiliations
Nina Krapukhina, National Univ. of Science and Technology MISiS (Russian Federation)
Roman Senchenko, National Univ. of Science and Technology MISiS (Russian Federation)
Nikolay Kamenov, National Univ. of Science and Technology MISiS (Russian Federation)


Published in SPIE Proceedings Vol. 10613:
2017 International Conference on Robotics and Machine Vision
Chiharu Ishii; Genci Capi; Jianhong Zhou, Editor(s)

© SPIE. Terms of Use
Back to Top