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Integration of Image-Based Fog Detection with Autonomous Decision System for Intelligent Road Sign.

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Bibliographic Details
Title: Integration of Image-Based Fog Detection with Autonomous Decision System for Intelligent Road Sign.
Alternate Title: Integracja algorytmu detekcji mgły na bazie analizy obrazu z autonomicznym systemem decyzyjnym dla inteligentnego znaku drogowego. (German)
Authors: Chmiel, Wojciech, Derkacz, Jan, Dziech, Andrzej, Gozdecki, Janusz, Jędrusik, Stanisław, Kadłuczka, Piotr, Kwiecień, Joanna, Mikrut, Zbigniew, Rogus, Grzegorz
Source: Journal of Konbin; Oct2021, Vol. 51 Issue 3, p19-36, 18p
Subject Terms: TRAFFIC signs & signals, SYSTEM integration, AIR analysis, DECISION making, FOG
Abstract: The paper presents the description of the decision system implemented for Intelligent Road Signs. It focuses on the implementation of the novel air transparency analysis system and its integration with the rule system and the speed control infrastructure. Moreover, there are presented issues of making decisions about the content displayed in the case of autonomous and cooperating signs. To reflect more closely on real-life situations, it is assumed that the content presented by the IRS changes dynamically, depending on the road traffic and weather parameters. The IRS system operation was presented using fog detection as an example. [ABSTRACT FROM AUTHOR]
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Database: Complementary Index
Description
Abstract:The paper presents the description of the decision system implemented for Intelligent Road Signs. It focuses on the implementation of the novel air transparency analysis system and its integration with the rule system and the speed control infrastructure. Moreover, there are presented issues of making decisions about the content displayed in the case of autonomous and cooperating signs. To reflect more closely on real-life situations, it is assumed that the content presented by the IRS changes dynamically, depending on the road traffic and weather parameters. The IRS system operation was presented using fog detection as an example. [ABSTRACT FROM AUTHOR]
ISSN:18958281
DOI:10.2478/jok-2021-0031