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METHOD, DEVICE, AND TRACK-BOUND VEHICLE, IN PARTICULAR RAIL VEHICLE, FOR A TRACK-BASED IMAGE ANALYSIS IN TRACK-BOUND TRAFFIC, IN PARTICULAR FOR A RAIL-BASED IMAGE ANALYSIS IN RAIL TRAFFIC
METHOD, DEVICE, AND TRACK-BOUND VEHICLE, IN PARTICULAR RAIL VEHICLE, FOR A TRACK-BASED IMAGE ANALYSIS IN TRACK-BOUND TRAFFIC, IN PARTICULAR FOR A RAIL-BASED IMAGE ANALYSIS IN RAIL TRAFFIC
The aim of the invention is to improve the automatic (autonomous) or supported travel of track-bound vehicles (BFZ) or rail vehicles (SFZ) without additional infrastructure along a route. This is achieved in that on the basis of multiple images (BIFSB, BIGLB) that represent a track/rail region (FSB, GLB) in an image region (BIB), which is produced in each image and in which captured tracks/rails (FS, GL) lie substantially in the same location relative to the graphically displayed track/rail region (FSB, GLB), the course of a track/rail (FS, GL) used by the rail vehicle through a track/rail image section which changes in the captured image relative to the total captured image is detected on the basis of the sections of the captured tracks/rails in the image region (BIB) using edge detection algorithms and is compared with stored known meta-information (MI), wherein the meta-information contains both track-related or rail-related primary metadata as well as track route-related or rail route-related secondary metadata.
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