EyeVi feature extraction
EyeVi feature extraction
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The EyeVi system can detect various elements on road surfaces or in the vicinity of roads. The extraction can be done from panoramic view, orthophoto view and LIDAR point cloud. In accordance with the clients’ needs, the EyeVi feature extraction can detect and classify e.g. posts, traffic signs, street lights, curbstones, ditches by the road, markings on road surfaces, safety islands, road surface defects, road attributes such as width, type of pavement, number of lanes, bus stops, greenery, road surface models, ground surface models, buildings etc. Orthophoto view based feature extractionThe EyeVi solution is easy to use and a productive tool to verify, update and make changes to road or other object databases. All data can be connected with a road ID, location and road linear reference. The following data can be managed:
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Pothole-location (point)Transverse crack-location (line), lengthWeathering-location (polygon), areaJoint reflection crack- location (line), length |
Linear crack-location (line), lengthCrack network-location (polygon), areaPatched road- location (polygon), areaEdge defect- location (line), length |
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It is possible to visualize road defects digitized in orthophoto view on panoramic images.
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Panoramic photo based feature extraction |
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It is possible to identify many object categories from panoramic photos. Here are some examples:
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LIDAR point cloud based feature extraction |
Feature extraction from 3D point cloud is the most accurate. It enables to get coordinates of an object much more precisely than from photo images. It also gives the exact geometry of objects.
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HD mapping |
HD maps give exact images of roads and their surroundings. In general, one might describe it as a topographical plan with a special focus on road objects, traffic signs and traffic management tools, lanes, road surface markings etc. HD maps are especially useful for developers of autonomous vehicles, geodesists, road maintenance, traffic control and local governments. For the autonomous vehicle industry, the locations and restrictions of lanes are very important.
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