Kompensation von sichteinschränkungen an flurförderzeugen

In this article, a method for automatic visual obstruction detection and mask-type congruent visual obstruction compensation, based on the principal of augmented reality, is presented. The method is based on the superposition of a simulated operator’s field of view with information from a scene reconstructed by two RGB-Cameras. These cameras are arranged in a way that they can record the scene information behind the view restriction. Besides the presentation of the test rig, a detailed presentation of the image processing software is given. With a view to the later use of the system in a forklift truck, the real-time capability of the system will be tested and optimization possibilities will be discussed.