A method for detecting obstacles for a rail vehicle includes capturing 3D image data from an area surrounding the rail vehicle and generating 2D image data from the 3D image data. Rails are detected and localized in the 2D image data. Depth data are determined in the 2D image data based on the 3D image data. The 2D image data are divided into linear image segments, each having a rail section with a constant depth. A depth value of a pixel of a linear image segment outside the rails is then compared with the respective depth value of the rails. If the difference between the depth value of the pixel and the depth value of the rails exceeds a threshold value, the pixel is part of an object projecting above the level of the terrain. Depending on its position and/or movement, the object is considered a potential collision obstacle.
HINDERNISDETEKTION IM GLEISBEREICH AUF BASIS VON TIEFENDATEN
OBSTACLE DETECTION IN THE TRACK AREA ON THE BASIS OF DEPTH DATA
DÉTECTION D'OBSTACLES DANS LA ZONE DE VOIE SUR LA BASE DE DONNÉES DE PROFONDEUR
27.12.2023
Patent
Elektronische Ressource
Deutsch
Hindernisdetektion im Gleisbereich auf Basis von Tiefendaten
Europäisches Patentamt | 2022
|HINDERNISDETEKTION IM GLEISBEREICH AUF BASIS VON TIEFENDATEN
Europäisches Patentamt | 2022
|Vegetationskontrolle im Gleisbereich
Online Contents | 1997
|IuD Bahn | 1996
|Vegetationskontrolle im Gleisbereich
IuD Bahn | 1997
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