CPC G06V 20/58 (2022.01) [G06T 11/203 (2013.01); G06V 10/426 (2022.01); G06V 10/62 (2022.01); G06V 10/82 (2022.01); G06V 2201/08 (2022.01)] | 14 Claims |
1. A method for preparing data from dynamic spatial scenarios for processing by an artificial neural network, the method comprising:
acquiring sensor data, wherein the sensor data characterizes a dynamic spatial scenario with respect to an ego object and at least one other object; and
generating a representation on the basis of a progression over time of an angular sector ascertained from the sensor data, wherein the progression over time of the angular sector, from the perspective of the ego object, is covered by the at least one other object.
|