MOVING OBJECT DETECTION IN CAR TRAFFIC WITH IMPLEMENTATION OF OPTICAL SENSORS

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Transport Problems

Silesian University of Technology

Subject: Economics, Transportation, Transportation Science & Technology

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VOLUME 15 , ISSUE 4, Part 1 (December 2020) > List of articles

MOVING OBJECT DETECTION IN CAR TRAFFIC WITH IMPLEMENTATION OF OPTICAL SENSORS

Piotr SZABLATA * / Paweł ŁĄKOWSKI / Janusz POCHMARA

Keywords : infrared sensors; linearization algorithm; collision detection; blind data algorithms; tracking objects; Intel R200

Citation Information : Transport Problems. Volume 15, Issue 4, Part 1, Pages 105-116, DOI: https://doi.org/10.21307/tp-2020-052

License : (CC BY 4.0)

Received Date : 12-June-2019 / Accepted: 27-December-2020 / Published Online: 31-December-2020

ARTICLE

ABSTRACT

In this investigation, the problem of moving object detection - without any knowledge - is classified. It describes a technique that will allow real-time localization with usage of IR sensors. The proposed algorithm is simplistic, and in the future, it might be implemented into any vehicle, premium or entry level. It is guided by AI that must calculate its next moves in the blink of an eye without user noticing any delays. The main problem of moving object recognition was extraction of proper features, description of the events, and choice of only the crucial ones. The presented novel approach does not follow any standard algorithms. It is a practical hardware implementation of custom solution, based on processing system, which can be well situated in the safety modules of future cars.

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