Skoči na glavni sadržaj

Tehnički vjesnik, Vol. 29 No. 2, 2022.

Prethodno priopćenje

https://doi.org/10.17559/TV-20210223081612

AI Powered Obstacle Distance Estimation for Onboard Autonomous Train Operation

Ivan Ćirić* orcid id orcid.org/0000-0003-0430-8937 ; Faculty of Mechanical Engineering, University of Niš, Aleksandra Medvedeva 14, 18000 Niš, Serbia
Milan Pavlović ; Academy of Technical-Educational Vocational Studies Niš Aleksandra Medvedeva 20, 18000 Niš, Serbia
Milan Banić ; Faculty of Mechanical Engineering, University of Niš, Aleksandra Medvedeva 14, 18000 Niš, Serbia
Miloš Simonović ; Faculty of Mechanical Engineering, University of Niš, Aleksandra Medvedeva 14, 18000 Niš, Serbia
Vlastimir Nikolić ; Faculty of Mechanical Engineering, University of Niš, Aleksandra Medvedeva 14, 18000 Niš, Serbia

Puni tekst: engleski pdf 1.514 Kb

str. 611-619

preuzimanja: 496

citiraj

Sažetak

This paper proposes a novel method for an AI powered improvement of the estimation of a distance between the camera and an imaged object using image-plane homography. The method exploits the homography between two planes, the image plane and the rail tracks plane, and an artificial neural network that reduces the estimation error based on collected experimental data. The SMART multi-sensory onboard obstacle detection system has 3 vision sensors – an RGB camera, a thermal vision camera and a night vision camera, in order to achieve greater reliability and robustness. Although the methodology presented in this paper is applicable for each vision sensor, the proposed method was tested with the thermal camera and in impaired visibility scenarios. The validation of estimated distances is done with respect to real measured distances from the camera stand to the objects (humans) involved in the experiments. Distances are estimated with a maximum error of 2% and the proposed AI powered system can provide a reliable distance estimation in impaired visibility conditions.

Ključne riječi

Artificial neural network; Autonomous train operation; Distance estimation; Homography; Image processing; Machine vision

Hrčak ID:

272613

URI

https://hrcak.srce.hr/272613

Datum izdavanja:

15.4.2022.

Posjeta: 1.095 *