AI Powered Obstacle Distance Estimation for Onboard Autonomous Train Operation

AI Powered Obstacle Distance Estimation for Onboard Autonomous Train Operation

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 th...

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Bibliographic Details
Main Authors: Ivan Ćirić*, Milan Pavlović, Milan Banić, Miloš Simonović, Vlastimir Nikolić
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2022-01-01
Series:Tehnički Vjesnik
Subjects:
Artificial neural network
Autonomous train operation
Distance estimation
Homography
Image processing
Machine vision
Online Access:https://hrcak.srce.hr/file/395149

Internet

https://hrcak.srce.hr/file/395149

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