Abstract
AbstractApplications of lane recognition using an on‐board camera in the real world require image recognition technology that is both fast and robust. The authors propose a method that takes structure matching as a search problem for optimal patterns and then uses a voting approach for discrete template patterns as a method for pattern matching in this kind of image recognition technology. The authors implement their proposed method as an on‐board device for lane recognition, then set it up in pipelined hardware, and confirm that it can work in real time. In addition, the results of comparing their method with a conventional lane recognition method using 1000 scenes of images of highways in the rain, a subject used for lane recognition, confirm that their method makes few errors and is robust. © 2004 Wiley Periodicals, Inc. Syst Comp Jpn, 35(8): 45–53, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/scj.10591
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