Fast Lane Boundary Recognition by a Parallel Image Processor

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

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 publicationIEEE International Conference on Systems, Man, and Cybernetics
PublisherIEEE
Publication statusPublished - 2016 Oct

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Hough transforms
Edge detection
Processing

Cite this

Premachandra, C. (2016). Fast Lane Boundary Recognition by a Parallel Image Processor. In IEEE International Conference on Systems, Man, and Cybernetics IEEE.

Fast Lane Boundary Recognition by a Parallel Image Processor. / Premachandra, Chinthaka.

IEEE International Conference on Systems, Man, and Cybernetics. IEEE, 2016.

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

Premachandra, C 2016, Fast Lane Boundary Recognition by a Parallel Image Processor. in IEEE International Conference on Systems, Man, and Cybernetics. IEEE.
Premachandra C. Fast Lane Boundary Recognition by a Parallel Image Processor. In IEEE International Conference on Systems, Man, and Cybernetics. IEEE. 2016
Premachandra, Chinthaka. / Fast Lane Boundary Recognition by a Parallel Image Processor. IEEE International Conference on Systems, Man, and Cybernetics. IEEE, 2016.
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