Classification of traffic signal system anomalies for environment tests of autonomous vehicles

• Autorzy: Lengyel H. , Szalay Z.

Identyfikatory

DOI

10.30657/pea.2018.19.09

• Języki publikacji: EN

Abstrakty

EN

In the future there will be a lot of changes and development concerning autonomous transport that will affect all participants of transport. There are still difficulties in organizing transport, but with the introduction of autonomous vehicles more challenges can be expected. Recognizing and tracking horizontal and vertical signs can cause a difficulties for drivers and, later, for autonomous systems. Environmental conditions, deformity and quality affect the perception of signals. The correct recognition results in safe travelling for everyone on the roads. Traffic signs are designed for people that is why the recognition process is harder for the machines. However, nowadays some developers try to create a traffic sign that autonomous vehicles can use. Computer identification needs further development, as it is necessary to consider cases where traffic signs are deformed or not properly placed. In the following investigation, the advantages and disadvantages of the different perception methods and their possibilities were gathered. A methodology for the classification of horizontal and vertical traffic signs anomalies that may help in designing better testing and validation environments for traffic sign recognition systems in the future was also proposed.

Słowa kluczowe

EN

classification; traffic signal system; anomalies; autonomous vehicles; test environment

PL

pojazd autonomiczny; znaki drogowe; sygnalizacja świetlna

• Wydawca: Oficyna Wydawnicza Stowarzyszenia Menedżerów Jakości i Produkcji
• Czasopismo: Production Engineering Archives
• Rocznik: 2018
• Tom: Vol. 19
• Strony: 43--47
• Opis fizyczny: Bibliogr. 21 poz., rys., tab.

Twórcy

autor

Lengyel H.

• Budapest University of Technology and Economics, Hungary, 1111 Budapest Stoczek Street 6

autor

Szalay Z.

• Budapest University of Technology and Economics, Hungary, 1111 Budapest Stoczek Street 6

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).