TY - GEN
T1 - Fast lane boundary recognition by a parallel image processor
AU - Premachandra, Chinthaka
AU - Gohara, Ryo
AU - Kato, Kiyotaka
PY - 2017/2/6
Y1 - 2017/2/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85015752476&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015752476&partnerID=8YFLogxK
U2 - 10.1109/SMC.2016.7844363
DO - 10.1109/SMC.2016.7844363
M3 - Conference contribution
AN - SCOPUS:85015752476
T3 - 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
SP - 947
EP - 952
BT - 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016
Y2 - 9 October 2016 through 12 October 2016
ER -