Toyota Motor Europe Nv/sa

Cogvis Software Und Consulting Gmbh

Christopher Pramerdorfer

Mark Van Loock

Michael Brandstoetter

Rainer Planinc

Martin Kampel

The disclosed subject matter relates to a method for determining a type and a state of an object of interest, comprising: generating a depth map of a scene by means of a depth sensor, the scene containing the object of interest and an occlusion object lying between the depth sensor and the object of interest; computing three 2D occupancy views, each in a different viewing direction, and three 2D occlusion views; feeding each of said occupancy and occlusion views into a different input of a trained convolutional neural network; receiving both a class and a bounding box of the object of interest from the convolutional neural network; and determining the type of the object of interest and the state of the object of interest. The disclosed subject matter further relates to a system for carrying out said method.

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Vienna, Austria

Christopher Pramerdorfer