Design of a R-ID in order to determine the position of the vehicle

• Autorzy: Valocký Frederik , Drahoš Peter , Haffner Oto , Kozáková Alena , Orgoň Miloš

Identyfikatory

DOI

10.15439/2020F128

• Konferencja: Federated Conference on Computer Science and Information Systems (15 ; 06-09.09.2020 ; Sofia, Bulgaria)
• Języki publikacji: EN

Abstrakty

EN

In this article, we design a road identifier (R-ID). The R-ID must be easily and quickly recognizable by a camera mounted on the vehicle. The camera captures this R-ID and then calculates the position information from it. The article describes the decision-making procedure for the design of an R-ID using camera recognition of geometric shapes. Parameters such as the uniqueness of the R-ID also play a role in this recognition, so that it is not interchangeable with other traffic signs. Another parameter is the percentage needed for the R-ID to be correctly recognized by the camera to obtain the necessary data from the overlay image. The outcome of this article is therefore a road identifier (a pattern) placed on the road which will be captured by the camera mounted on the vehicle.

Słowa kluczowe

EN

machine vision; computer vision; autonomous car; data transfer; picture recognition

PL

wizja maszynowa; wizja komputerowa; samochód autonomiczny; transfer danych; rozpoznawanie obrazu

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2020
• Tom: Vol. 21
• Strony: 435--441
• Opis fizyczny: Bibliogr. 9 poz., il., wykr.

Twórcy

autor

Valocký Frederik

• Institute of Automotive Mechatronics, Slovak University of Technology in Bratislava, Bratislava, Slovakia

autor

Drahoš Peter

• Institute of Automotive Mechatronics, Slovak University of Technology in Bratislava, Bratislava, Slovakia

autor

Haffner Oto

• Institute of Automotive Mechatronics, Slovak University of Technology in Bratislava, Bratislava, Slovakia

autor

Kozáková Alena

• Institute of Automotive Mechatronics, Slovak University of Technology in Bratislava, Bratislava, Slovakia

autor

Orgoň Miloš

• Institute of Multimedia and ICT, Slovak University of Technology in Bratislava, Bratislava, Slovakia

Bibliografia

• 1. F. Valocký, P. Drahoš, and O. Haffner, “Measure distance between camera and object using camera sensor,” in 30th Conference Cybernetics Informatics. FEI STU BA, 2020.
• 2. B. Buková, R. Madleňák, and K. R., “Elektronické podnikanie v doprave a logistike.” Iura Edition, 2009.
• 3. Opel, Groupe PSA, “Innovative Opel Eye camera,” 2014. [Online]. Available: https://http://www.opel.pl
• 4. T. Čorejová, A. Križanová, and N. A., “Tendencies in the professional education for transportation sector in slovakia.” Iura Edition, 2009.
• 5. J. Mikulski and P. Czech, “Vibration signals to diagnose damage of head gasket in internal combustion engine of a car. in: Telematics.” TST 2014, 2014.
• 6. VolvoCars, “NightVision,” 2014. [Online]. Available: http://www.volvocars.pl/september2014
• 7. R. Fujdiak, P. Masek, P. Mlynek, J. Misurec, and A. Muthanna, “Advanced optimization method for improving the urban traffic management,” in Proceedings of the 18th Conference of Open Innovations Association FRUCT. FRUCT Oy, 2016, pp. 48–53.
• 8. COGNEX, “Cognex Support,” 2019. [Online]. Available: https://support.cognex.com/docs/is580/web/EN/ise/Content/Reference/WriteFTP.htm?tocpath=Communications%20Reference%7CFTP%20Communications%7C
• 9. F. Valocký, P. Drahoš, O. Haffner, and M. Orgoň, “Transfer data from camera required for autonomous driving via ftp,” in 22nd Conference of Doctoral Students Faculty o fElectrical Engineering and Information Technology. FEI STU BA, 2020.

Uwagi

1. The paper was partially supported by the Slovak Research and Development Agency, grant No. APVV-17-0190 and the Slovak Cultural Educational Grant Agency, grant No.038STU-4/2018.

2. Track 2: Computer Science & Systems

3. Technical Session: Advances in Computer Science & Systems

4. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).