Paper
1 March 1990 Lanelok: Detection Of Lane Boundaries And Vehicle Tracking Using Image-Processing Techniques - Part I: Hough-Transform, Region-Tracing And Correlation Algorithms
Surender K. Kenue
Author Affiliations +
Proceedings Volume 1195, Mobile Robots IV; (1990) https://doi.org/10.1117/12.969885
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States
Abstract
The purpose of this study was to develop image-processing techniques for detecting lane boundaries and vehicle tracking using an on-board video camera. It resulted in several algorithms which process the image of the road scene to extract the position of lane markers and estimate the position of the lane boundaries and the position of the vehicle within the lane. The following algorithms were developed to process the camera's output: a Hough-transform algorithm, a region-tracing algorithm, and a vehicle-tracking algorithm. These algorithms were successfully tested on 3000 real road images, including some with missing and discontinuous markers. This capability to estimate lane boundaries will play a key role in the development of advanced automotive functions such as collision warning, collision avoidance and automatic vehicle-guidance.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Surender K. Kenue "Lanelok: Detection Of Lane Boundaries And Vehicle Tracking Using Image-Processing Techniques - Part I: Hough-Transform, Region-Tracing And Correlation Algorithms", Proc. SPIE 1195, Mobile Robots IV, (1 March 1990); https://doi.org/10.1117/12.969885
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Cited by 21 scholarly publications.
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KEYWORDS
Roads

Algorithm development

Detection and tracking algorithms

Image processing

Hough transforms

Sensors

Evolutionary algorithms

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