Virtual expansion of the technical vision system for smart vehicles based on multi-agent cooperation model

Nina Krapukhina; Roman Senchenko; Nikolay Kamenov

doi:10.1117/12.2299987

19 December 2017 Virtual expansion of the technical vision system for smart vehicles based on multi-agent cooperation model

Nina Krapukhina, Roman Senchenko, Nikolay Kamenov

Author Affiliations +

Proceedings Volume 10613, 2017 International Conference on Robotics and Machine Vision; 106130B (2017) https://doi.org/10.1117/12.2299987
Event: Second International Conference on Robotics and Machine Vision, 2017, Kitakyushu, Japan

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.

Citation Download Citation

Nina Krapukhina, Roman Senchenko, and Nikolay Kamenov "Virtual expansion of the technical vision system for smart vehicles based on multi-agent cooperation model", Proc. SPIE 10613, 2017 International Conference on Robotics and Machine Vision, 106130B (19 December 2017); https://doi.org/10.1117/12.2299987

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