COMPUTER VISION METHODS FOR AUTOMOTIVE APPLICATIONS VISIÓN COMPUTACIONAL PARA APLICACIONES AUTOMOTIVAS
Licencia: Creative Commons (by)
Autor(es): Díaz, Aldo y Kurka, Paulo
Recent advances in computer vision are leveraging many technological developmentsin modernindustryand automation. In this tutorial, it is presenteda review ofcomputer visionmethods and applicationsrelevant to the use of cameras as measurement devices in the automotive industryand robotics. The methods include algorithms for edge and ellipse detection, camera calibration, 3-D reconstruction and stereo vision. The applications areelaborated through simulations ofthree key problems: Detection of rims inautomotive wheels; estimation of the calibration angles of vehicles and; trajectory reconstruction using stereo vision. Theseapplicationsallow to demonstratethe potential of vision-based technologiesin solvingcomplex engineering problemsin an automated fashion using cameras as sensors. As a result, threegeneralpurpose methodologies are proposed forsolvingproblems of industrial need that would serve as guidelines for further developments in current and other related areas.
[Lima: 2020]
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