A Comparison of Lane Marking Detection Quality and View Range between Daytime and Night-Time Conditions by Machine Vision

Darko Babic, Dario Babic*, Mario Fiolic, Arno Eichberger, Zoltan Ferenc Magosi

*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in einer FachzeitschriftArtikelBegutachtung

Abstract

Lateral support systems in vehicles have a high potential for reduction of lane departure crashes. To profit from their full potential, such systems should function properly in adverse conditions. Literature indicates that their accuracy varies between day and night-time. However, detailed quantifications of the systems’ performance in these conditions are rare. The aim of this study is to investigate the differences in detection quality and view range of Mobileye 630 in dry daytime and night-time conditions. On-road tests on four rural road sections in Croatia were conducted. Wilcoxon signed-rank test was used to test the difference between the number of quality rankings while absolute average, average difference and standard deviation were used to analyse the view range. Also, a paired samples t-test was used to test the difference between conditions for each line on each road. The overall results confirm that a significant difference in lane detection quality view range exists between tested conditions. “Medium” and “high” detection confidence (quality level 3 and 2), increased by 5% and 8% during night-time compared to daytime while level 0 (“nothing detected”) decreased by 12%. The view range increased (almost 16% for middle line) during daytime compared to night-time. The findings of this study expand the existing knowledge and are valuable for research and development of machine-vision systems but also for road authorities to optimize the markings’ quality performance.
Originalspracheenglisch
Aufsatznummer4666
Seitenumfang15
FachzeitschriftEnergies
Jahrgang14
Ausgabenummer15
DOIs
PublikationsstatusVeröffentlicht - 1 Aug. 2021

Schlagwörter

  • ADAS
  • lateral support systems
  • lane detection
  • automated driving
  • visibility
  • lane keeping systems

ASJC Scopus subject areas

  • Fahrzeugbau
  • Tief- und Ingenieurbau
  • Steuerung und Optimierung
  • Energie (sonstige)
  • Energieanlagenbau und Kraftwerkstechnik
  • Elektrotechnik und Elektronik
  • Feuerungstechnik
  • Erneuerbare Energien, Nachhaltigkeit und Umwelt

Fields of Expertise

  • Mobility & Production

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