Processing depth distance data to increase precision of multiple infrared sensors in the automatic visual inspection system

Szablata, Piotr; Łąkowski, Paweł; Pochmara, Janusz

doi:10.1117/1.oe.56.8.083106

Cited by 2 publications

(2 citation statements)

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“…Such distance was used to simulate road driven by the car for each sample (1/90 s) at 30 km/h speed limit, which was recommended by European Transport Safety Council in its report from 2014 [24]. Additionally, proven precision increasing algorithm was used to produce the best results [25].…”

Section: Camera and Sensor Capabilitiesmentioning

confidence: 99%

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Moving Object Detection in Car Traffic With Implementation of Optical Sensors

2020

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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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Section: Camera and Sensor Capabilitiesmentioning

confidence: 99%

“…Second frame is already adjusted for proper focus and light conditions. Algorithm needed to use contrast data from RGB matrix was already available and ready for implementation [25].…”

Section: Camera and Sensor Capabilitiesmentioning

confidence: 99%