An automatic driving system for grain processing, and an automatic driving method and a path planning method is illustrated. The automatic driving system for grain processing comprises a grain processing host, an image processing system, a path planning system, and an image acquisition device. The image processing system is arranged on the grain processing host and acquires at least one image of farmland surrounding the grain processing host. The image processing system identifies, based on an image segmentation and identification method, an area in the image; and the path planning system plans, based on the area identified by the image processing system, at least one driving planning path. The grain processing host automatically controls driving according to the driving planning path planned by the path planning system.

A commodity cart includes at least one storage tank and a transfer arm having a product chute, a tube portion coupled to the product chute. The tube portion ends in a product outlet. A hydraulic system is coupled to the transfer arm and configured to move the transfer arm to a product loading position wherein the product chute is positioned at a location on the ground. A controller is configured to determine a desired fill vehicle position and generate an indication of the desired fill vehicle position.

A vehicle control system for an off-road vehicle including a processing circuit including a processor and memory, the memory having instructions stored thereon that, when executed by the processor, cause the processing circuit to receive a first parameter associated with a characteristic of the off-road vehicle, receive a second parameter associated with a characteristic of an environment of the off-road vehicle, generate, based on the first and second parameters, a perception zone for the off-road vehicle, control the off-road vehicle to avoid an obstacle using the perception zone, receive an indication of a change in at least one of the first parameter or the second parameter, and update the perception zone based on the change in the at least one of the first parameter or the second parameter.

System and techniques for adaptive color transformation to aid computer vision are described herein. Colors from an image are mapped into a multi-dimensional space to create a distribution of colors in the image. A line can be fit to the distribution. Here, the line includes an angle relative to a coordinate system of the multi-dimensional space. A transformation to colors can then be applied to the image based on the angle of the line. The transformation producing a reduced image where a color complexity of the original image is reduced.

An object identification and collection method is disclosed. The method includes receiving a pick-up path that identifies a route in which to guide an object-collection system over a target geographical area to pick up objects, determining a current location of the object-collection system relative to the pick-up path, and guiding the object-collection system along the pick-up path over the target geographical area based on the current location. The method further includes capturing images in a direction of movement of the object-collection system along the pick-up path, identifying a target object in the images; tracking movement of the target object through the images, determining that the target object is within range of an object picker assembly on the object-collection system based on the tracked movement of the target object, and instructing the object picker assembly to pick up the target object.

A traveling path planning method of an automatic harvester includes steps of (a) detecting and forming, by a detection device, a basic farmland information; and (b) receiving and analyzing, by a path planning device, the basic farmland information, and planning a path for the automatic harvester to travel.

An autonomous obstacle monitoring and vehicle control system includes a remote sensing device including one or more sensors. The remote sensing device is movable relative to an agricultural system, and configured to observe obstacles proximate to a path of an agricultural system or proximate to the agricultural system. An obstacle recognition module communicates with the remote sensing device, and is configured to identify and index obstacles proximate to the path or proximate to the agricultural system. An autonomous agricultural system controller is configured for communication with the agricultural system. The autonomous agricultural system controller includes a mission administration module configured to operate the remote sensing device, and a vehicle operation module configured to control the agricultural system based on the identified and indexed obstacles.

An objective is to appropriately position a communication module that carries out wireless communication to exchange information regarding cooperative travel with another vehicle, in order to simplify the measures that are to be taken to avoid thermal damage, and prevent antenna cables from being damaged, for example. A work vehicle includes: a cabin 4 in which a boarding space is formed; and an electronic control system for automatic driving through which a vehicle body is automatically driven. The electronic control system includes a positioning unit that measures the position and orientation of the vehicle body, and a cooperation control unit that causes the vehicle body to automatically travel in cooperation with another vehicle. The cabin 4 is provided with a roof 62 that provides a storage space 62A that is surrounded by an inner roof 101 and an outer roof 102. The cooperation control unit includes a communication module 71 that wirelessly communicates with another vehicle to exchange information regarding cooperative travel with the other vehicle, including vehicle body position information. Antennas of the communication module 71 are provided on an upper end portion of the cabin 4, and a communication information processing apparatus 122 of the communication module 71 is provided in the storage space 62A.

A method for automatically steering an agricultural machine on an agricultural area that is to be worked. The method includes optically detecting a first region of the area that is to be worked lying in a direction of travel of the agricultural machine in a first recording via a first optical sensor in a first position with a first viewing direction. The method further includes optically detecting a second region of the area that is to be worked lying in the direction of travel of the agricultural machine in a second recording via a second optical sensor in a second position with a second viewing direction. The method additionally includes detecting a tramline in the first recording and detecting a tramline in the second recording, determining a first trajectory and a second trajectory, and determining a steering signal based on the first trajectory and/or the second trajectory.

A system and method for automated grain inspection and analysis of results during harvest, using an inspection system mounted on a combine harvester with geolocation tracking, allowing for real time analysis during harvest and tracking of grain quality by location of harvest.