A visual identification positioning system includes a first positioning member, a second positioning member, and a mowing robot. The mowing robot has a visual identification unit and a computation unit. The visual identification unit identifies a first identification feature of the first positioning member and a second identification feature of the second positioning member to generate first and second signals to the computation unit. The computation unit computes a first coordinate, a second coordinate, a first distance between the mowing robot and the first coordinate, and a second distance between the mowing robot and the second coordinate according to the first and second signals, and defines first and second ranges with the first and second coordinates as centers according to the first and second distances, and computes a coordinate of an intersection of the first and second ranges as a current location coordinate of the mowing robot.

The invention relates to a control system for an autonomous vehicle, a method and an autonomous vehicle. The system comprises an image capturing means capable of capturing at least a first image of the environment of the vehicle and a second image of the environment, wherein the images are captured in a close time relationship but with different image capturing parameters. A processing means configured to obtain and process the images captured with different image capturing parameters separately and taking into consideration a first intensity threshold when processing the first image and a second, different intensity threshold when processing the second image. A control means for generating and outputting a control signal on the basis of a result of the at least one of the processed images.

A lawn mower 10 of the present embodiment travels on a lawn and cuts grass. The lawn mower 10 includes a drive source 12 and a controller 21. The drive source 12 generates power for the lawn mower 10 to travel. The controller 21 receives height at each position of the lawn from a sensor that detects the height at each position of the lawn or from a memory (a storage of the controller 21, a laptop PC 40, or a server) that stores the height at each position of the lawn and controls the drive source 12 based on a height change in the lawn in front in a travel direction to change a travel speed.

A device for controlling a piece of agricultural machinery that is movable within an agricultural plot includes: a piece of machinery and a unit having a memory including input data for mapping a risk area located within an agricultural plot. The memory includes data representative of a set of types of risk area and data representative of a set of specific behaviors. The unit is configured to: associate the input data for mapping a risk area with a category, associate the category with a specific behavior of the piece of mobile agricultural machinery, and control the specific behavior if the position of the piece of machinery is located in or near the risk area. The piece of machinery is arranged to move autonomously within the agricultural plot according to the specific behavior controlled by the unit.

A control method for a self-moving device controls the self-moving device to move in a designated area to process a predetermined object in the designated area. The method includes steps of: obtaining, during the moving process of the self-moving device, an image of an area in a forward direction of the self-moving device; and determining, according to the image, whether the predetermined object in the area in the forward direction of the self-moving device includes a specific predetermined object, so as to control a moving direction of the self-moving device. The specific predetermined object and the predetermined object have at least one different feature parameter. A related self-moving device is also disclosed.

An upper point cloud estimator is configured to estimate a three-dimensional representation of the crop canopy based on collected stereo vision image data. A lower point cloud estimator is configured to estimate a ground three-dimensional representation or lower point of the ground based on the determined average. The electronic data processor is configured to determine one or more differences between the upper point cloud (or upper surface) of the crop canopy and a lower point cloud of the ground, where each difference is associated with a cell within a grid defined by the front region. The electronic data processor is capable of providing the differences to a data processing system to estimate a yield or differential yield for the front region, among other things.

A vehicle (22) being operable in an autonomous driving mode having a parking brake (17) with a first actuation unit (9) configured to apply or release the parking brake (17); an activation device (10) configured to activate or deactivate the autonomous driving mode; an interlock (11), wherein the interlock (11) is configured to prevent an activation of the autonomous driving mode unless the parking brake (17) is applied by the first actuation unit (9).

This disclosure relates to an automatic driving method, apparatus and system, and a non-transitory computer-readable storage medium, and relates to the field of agricultural machine automatic driving. The automatic driving method includes acquiring a trajectory of travel of an agricultural machine on a current row and an image of an operated area of a farm implement connected with the agricultural machine on the current row; determining a boundary of the operated area of the farm implement on the current row according to the image of the operated area of the farm implement on the current row; determining an operating width of the farm implement; and determining a space between a trajectory of travel of the agricultural machine on a next row and the trajectory of travel of the agricultural machine on the current row.

A device for steering an agricultural machine having independently steerable axles includes first and second steerable axle interface to couple with a first steering mechanism of a first steerable axle and a second a second steering mechanism of a second steerable axle. The device includes a planning module having a guidance path for the agricultural machine, and a steering control module to coordinate steering of the steering mechanisms. The steering control module includes a translational comparator to determine a translational difference between a location of the agricultural machine relative to the guidance path, an angular comparator to determine an angular difference between an angular orientation of the agricultural machine relative to the guidance path, and a translation steering controller to actuate the first and second steering mechanisms according to the translational difference. The device includes an angular steering controller to actuate the second steering mechanism according to the angular difference.

A vegetation monitoring device with at least one camera unit (28) for monitoring vegetation health in a garden (10), wherein the at least one camera unit (28) is configured to detect the garden area (30, 32, 34) in at least a first range of the electromagnetic spectrum, in particular in the visible light range, and in at least a second region of the electromagnetic spectrum, in particular in the infrared range, in order to determine at least one vegetation index of at least one garden area (30, 32, 34) of the garden (10), in particular in the region of visible light, and in at least one second region of the electromagnetic spectrum, in particular in the infrared range, wherein the camera unit (28) is provided for an arrangement at least substantially above ground level of the garden (10) and for an at least substantially stationary arrangement outside or in the vicinity of the garden (10), and a vegetation monitoring system is proposed.