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Traffic sign rotation and its effect on sign detection: Roll-like rotation of traffic signs and its effect on a sign detection system trained on non-rotated signs
University of Skövde, School of Informatics.
2024 (English)Independent thesis Basic level (degree of Bachelor), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Sign detection is a valuable part of intelligent driving aids and of the developments towards selfdriving or autonomous vehicles. The impact of various environmental conditions on such systems needs to be explored and this study aims to fill a gap in current research relating to the effect of sign rotation on such systems. This is approached in a quasi-experiment varying only the rotation of sign images and measuring the resulting accuracy. The study finds that upside-down signs are significantly more difficult to detect than right-side-up signs and that sideways-rotated signs are far more difficult than that. The conclusion drawn is that resources likely need to be spent towards negating this limitation when similar systems are developed to ensure high performance even in cases where signs have been rotated. 

Place, publisher, year, edition, pages
2024. , p. 25, iii
Keywords [en]
Computer vision, sign detection, intelligent speed assistance, CNN, YOLOv8
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:his:diva-24284OAI: oai:DiVA.org:his-24284DiVA, id: diva2:1883133
Subject / course
Informationsteknologi
Educational program
Computer Science - Specialization in Systems Development
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Examiners
Available from: 2024-07-09 Created: 2024-07-09 Last updated: 2024-07-09Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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