LaneLok: an improved Hough transform algorithm for lane sensing using strategic search methods

Surender K. Kenue; David R. Wybo

doi:10.1117/12.45496

1 March 1991 LaneLok: an improved Hough transform algorithm for lane sensing using strategic search methods

Surender K. Kenue, David R. Wybo

Proceedings Volume 1468, Applications of Artificial Intelligence IX; (1991) https://doi.org/10.1117/12.45496
Event: Orlando '91, 1991, Orlando, FL, United States

Abstract

The lane sensing function detects and estimates the location of road and lane boundaries and is a core function of the Highway Driver's Assistant project within the Intelligent Vehicle Highway System program. The previously developed Hough Transform algorithm for lane sensing was improved significantly by embedding the knowledge of the road geometry and by reducing the area of the transform space. A modified Sobel edge- operator was also developed for detecting edges in the dark to light transition areas. The computational processing time was reduced from 30 seconds/image to 3 seconds/image on a VAX 8600 computer by using temporal knowledge of vehicle motion. The algorithm's improved performance was checked successfully on over 800 images of highway scenes.

Citation Download Citation

Surender K. Kenue and David R. Wybo "LaneLok: an improved Hough transform algorithm for lane sensing using strategic search methods", Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); https://doi.org/10.1117/12.45496

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