Zf Friedrichshafen Ag

Markus Birk

Daniel Wolf

Udo Brehmer

Mauro Cesar Zanella

Andreas Heinzler

Gabriela Jager

Carolin Heller

Raphael Gonzalez

Dieter Balz

A control method for a vehicle () in which the vehicle () is controlled manually while sensor data, from at least one sensor of the vehicle (), is collected and stored. Then the vehicle () is controlled autonomously while sensor data, from the at least one sensor is detected and matched to the stored sensor data.

Control of a vehicle via reference sensor data

A method for controlling a utility vehicle includes detecting, via a sensor, an elevation profile of a region located in front of the utility vehicle in the direction of travel. The method also includes initializing a grid comprising a plurality of grid cells. The grid extends at least in a longitudinal direction and in a vertical direction of the region. The method further includes assigning the detected elevation profile to associated grid cells by writing elevation profile data into grid cells and controlling the vehicle based on the elevation profile data.

Method for controlling a utility vehicle

An arrangement determines a gradient signal in a vehicle. The arrangement has: a position capture device that determines a vehicle position at a first and second time and ascertains therefrom a distance traveled as a motion vector, and a laser distance sensor on the vehicle front at an angle to a vehicle longitudinal axis and configured to emit a laser beam in a direction of a first measuring point in front of the vehicle at the first and second time, and a length sensor to ascertain the length of the laser beam and its associated vector at the first and second time, and at least one detection device to ascertain a differential vector from the motion vector and the ascertained vectors and to form a gradient signal therefrom.

Arrangement and method for determining a gradient signal in a vehicle

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Friedrichshafen, Germany

Markus Birk