Fast lane boundary recognition by a parallel image processor

Chinthaka Premachandra, Ryo Gohara, Kiyotaka Kato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Much past research related to road domain detection has focused on lane detection. Commonly, this is performed by applying edge detection to a road image, then applying a Hough transform to perform straight-line detection. Detected straight lines are then analyzed to extract lane boundaries. However, the Hough transform is calculation intensive, requiring long processing times. This paper applies a parallel processor to image detection and investigates a Hough transform suited to parallel processing to realize faster lane detection.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages947-952
Number of pages6
ISBN (Electronic)9781509018970
DOIs
Publication statusPublished - 2017 Feb 6
Event2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Budapest, Hungary
Duration: 2016 Oct 92016 Oct 12

Other

Other2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016
CountryHungary
CityBudapest
Period16/10/916/10/12

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Control and Optimization
  • Human-Computer Interaction

Cite this

Premachandra, C., Gohara, R., & Kato, K. (2017). Fast lane boundary recognition by a parallel image processor. In 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings (pp. 947-952). [7844363] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2016.7844363