Robert Boschgmbh

Steffen Knoop

Andreas Schmidt

Koba Natroshvili

Maxim Dolgov

Thomas Schamm

Markus Schuetz

Johannes Ludwig Foltin

Heiko Freienstein

Holger Andreas Banzhaf

Markus Koehler

Hans-Christian Swoboda

Joachim Boerger

Markus Mazzola

Miriam Schreiber

Nandor Nagy

Dennis Nienhueser

Steffen Waeldele

Thomas Kiess

A method for classifying a driving behavior of a road user in the environment of an ego vehicle. The method includes: receiving trajectory data of a driving trajectory of a road user arranged in the environment of an ego vehicle; ascertaining a latent-space representation of the driving trajectory of the road user in a latent space; ascertaining a distance of the latent-space representation of the driving trajectory of the road user to a latent-space representation of at least one normal trajectory in the latent space and classifying a driving behavior of the road user as a normal driving behavior if the distance in the latent space falls below a predetermined limit value; or classifying the driving behavior of the road user as an abnormal driving behavior if the distance in the latent space exceeds the predetermined limit value.

Method for classifying a behavior of a road user and method for controlling an ego vehicle

A method for classifying a driving behavior of a road user in the environment of an ego vehicle. The method includes: receiving trajectory data of a driving trajectory of a road user arranged in the environment of an ego vehicle; ascertaining a latent-space representation of the driving trajectory of the road user in a latent space; ascertaining a distance of the latent-space representation of the driving trajectory of the road user to a latent-space representation of at least one normal trajectory in the latent space; and classifying a driving behavior of the road user as a normal driving behavior if the distance in the latent space falls below a predetermined limit value; or classifying the driving behavior of the road user as an abnormal driving behavior if the distance in the latent space exceeds the predetermined limit value.

A device for protecting a travel trajectory of an ego vehicle. An information evaluation device creates an ego grid for the travel trajectory of the ego vehicle through the travel surroundings so that for each ego grid cell, a temporal occupation of the particular ego grid cell by the ego vehicle, driving along the travel trajectory, is established, and creates a surroundings grid for the travel surroundings so that a temporal occupation of a surroundings grid cell by at least one object that is possibly present is established for each surroundings grid cell. The device includes a grid evaluation device that examines each ego grid cell and the particular associated surroundings grid cell with regard to a simultaneous occupation of the particular ego grid cell by the ego vehicle, driving along the travel trajectory, and of the particular associated surroundings grid cell by the at least one possibly present object.

Device and method for protecting a travel trajectory of an ego vehicle

A method for adapting a driving behavior of a semi, highly or fully automated vehicle and includes the following steps: receiving passenger compartment data; ascertaining a safety state of at least one vehicle occupant which in particular represents an injury probability of the vehicle occupant in the event of an accident, based on the passenger compartment data; and adapting the driving behavior of the vehicle based on the safety state of the at least one vehicle occupant.

Method and device for adapting a driving behavior of a semi, highly or fully automated vehicle

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Munich, Georgia

Steffen Knoop