Claas Selbstfahrende Erntemaschinen Gmbh

Claas E-systems Gmbh

Andreas Skiba

Dennis Neitemeier

Boris Kettelhoit

Thilo Krause

Joachim Baumgarten

Bastian Bormann

Frédéric Fischer

Bastian Kriebel

Sven Carsten Belau

Daniel Irmer

Marvin Barther

Sebastian Spiekermann

Sven Bone

Maik Heufekes

Jannik Redenius

Andreas Nienhaus

Ivan Smolnik

Max Reinecke

René Middelberg

Torben Töniges

Timo Korthals

Andreas Lücke

Klaus Angas

Sebastian Porczek

A method for the operation of a self-propelled agricultural working machine has at least one working element and a driver assistance system for generating control actions within the working machine. A sensor arrangement for generating surroundings information is provided, and the driver assistance system generates the control actions based on the surroundings information. The sensor arrangement comprises a camera-based sensor system and a laser-based sensor system, each of which generates sensor information regarding a predetermined, relevant surroundings area of the working machine. The sensor information of the camera-based sensor system is present as starting camera images. The starting camera images are segmented into image segments by an image processing system according to a segmentation rule, and the segmented camera images are combined by a sensor fusion module with the sensor information from the laser-based sensor system.

Method for the operation of a self-propelled agricultural working machine

A method and apparatus for controlling an agricultural harvesting campaign is disclosed in which predetermined harvesting activities are processed within a campaign timeline by a plurality of agricultural working machines of a machine fleet on a field allotment assigned to the harvesting campaign. The control of the harvesting campaign is executed on different application levels by continuously generating information, wherein the generated information is continuously provided to all of the application levels, and the generated data comprise remotely-sensed field information.

System and method for controlling an agricultural harvesting campaign

An agricultural work machine configured to avoid anomalies is disclosed. Agricultural work machines may encounter anomalies, such as obstacles (e.g., tires) or irregularities in the crop (e.g., weeds), which can reduce the quality of the harvested crop. Manually steering the agricultural work machine requires the constant attention of the vehicle operator. Thus, the agricultural work machine is configured to include sensors to generate one or more images (such as images of various regions of the agricultural work machine), an image processing system to process the images and a control unit to avoid the anomalies (e.g., avoid the identified anomalies, to drive in tracks, and/or to stop the agricultural work machine).

Agricultural work machine for avoiding anomalies

An agricultural work machine, such as a self-propelled harvester, is provided. The agricultural work machine includes a crop gathering machine which has a crop cutting device, a crop collecting device and/or a crop feeding device, and at least one crop conveyor, and comprising an image processing system, a data output unit, and at least one sensor system assigned to the crop gathering machine for recording a crop flow in the crop gathering machine. The sensor system is coupled to the image processing system for transferring images. The image processing system processes a selection of available images, such as by pre-processing the images to be transferred in a first step, in a further step determining an optical flow and corresponding vector fields from the pre-processed images, and in a subsequent step deriving and assessing speed trends of the crop flow from the corresponding vector fields.

Crop flow monitoring of a crop gathering device

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Bielefeld, Germany

Andreas Skiba