Neural Networks in Stereo Vision Evaluation of Road Pavement Condition
نویسنده
چکیده
This study presents the method for the measurement of road pavement condition based on a stereo vision method of surface representation. The road is represented as a set of points in 3D space. Problems of stereo vision analysis regarding the ambiguity of matching points images, discontinuity depth for neighboring objects registered on the images, etc. were redacted by used neural networks. The author proposed modified Hopfield neural networks in the process of matching pixels in stereo images. The measurement method and construction of test stand presented in the study was developed and implemented by the author of the paper. The test stand allows for inspection of roads according to the requirements of PMS systems. The presented solution would help to identify particularly dangerous places on the road calling for immediate maintenance.
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