A personal mobility may include a sensor configured to detect an event; a plurality of protruding elements, each of which includes an actuator and a load sensor, protruding from the scaffold and configured of descending according to a load applied thereto or rising according to an output of the actuator; and a controller connected to the sensor and the plurality of protruding elements and configured to determine a position of the sole of the user based on an output of the protruding element descending according to the load of the user among the plurality of protruding elements when the user boards on the scaffold, determine the type of the event based on the output of the sensor and control to raise at least one protruding element among the protruding elements located below the sole based on the type of the event.

An objective of the present invention is to make it possible to obtain, with a simple operation, a target route for autonomous travel suited to, for example, a user's sense of values. A target route generation system for a work vehicle includes a storage part 30A that stores basic data necessary for generating a target route P for autonomous travel, a priority item selection part 34 that prompts selection of a priority item with regard to generation of the target route P, and a target route generation part 30D that generates the target route P based on the basic data and the selected priority item.

System and techniques for calibrating a crop row computer vision system are described herein. An image set that includes crop rows and furrows is obtained. Models of the field are searched to find a model that best fits the field. A calibration parameter is extracted from the model and communicated to a receiver.

System and techniques for calibrating a crop row computer vision system are described herein. An image set that includes crop rows and furrows is obtained. Models of the field are searched to find a model that best fits the field. A calibration parameter is extracted from the model and communicated to a receiver.

A method of navigating a vehicle through a field as it is being towed by a tractor. The method comprises obtaining an image of the field, segmenting the image to identify one or more crop rows, and steering the vehicle to avoid the one or more crop rows.

A method of navigating an agricultural implement through a field in an operative direction as it is being towed by a tractor. The method comprises providing the implement with a main mounting assembly, which is mountable to the tractor and has a stationary main beam, and a toolbar movably supported on the main beam in a lateral position so as to be shiftable laterally relative to the operative direction to align the toolbar relative to crop rows, the toolbar including row units configured to pass between crop rows; obtaining an image of the field with a camera; segmenting the image to identify a plurality of the crop rows extending in the operative direction within a field of vision of the camera; and adjusting the lateral position of the toolbar to maintain the row units between the plurality of crop rows while avoiding damage to the crops.

A work machine receives a thematic map that maps values of a variable to different geographic locations at a worksite. Control zones are dynamically identified on the thematic map and actuator settings are dynamically identified for each control zone. A position of the work machine is sensed, and actuators on the work machine are controlled based upon the control zones that the work machine is in, or is entering, and based upon the settings corresponding to the control zone. These control zones and settings are dynamically adjusted based on in situ (field) data collected by sensors on the work machine.

Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include, receiving data representing a policy specifying a type of action for an agricultural object, selecting an emitter with which to perform a type of action for the agricultural object as one of one or more classified subsets, and configuring the agricultural projectile delivery system to activate an emitter to propel an agricultural projectile to intercept the agricultural object.

Provided is a method of automatically combining a farm vehicle with a work machine including confirming a current position of the work machine, moving a farm vehicle into a range having a predetermined radius around the current position, and controlling the farm vehicle, on the basis of a current position and direction of a first coupling unit included in the work machine, so that the first coupling unit and a second coupling unit included in the farm vehicle are coupled to each other.

The invention relates to a method for predictively generating data for controlling a drive track and an operating sequence of an agricultural vehicle and of an agricultural machine, the method comprising the steps automatically detecting and storing vehicle and/or machine data through a sensor arrangement that is arranged at individual vehicles or individual machines for generating a vehicle and machine model; collecting and storing data regarding a three dimensional terrain topography and/or data regarding current and/or forecasted terrain properties and/or a weather condition for generating a predictive three dimensional geo referenced terrain model; optimizing imaging of the vehicle and machine model into the three dimensional predictive terrain model and computing drive track control data for defining a drive track and/or machine control data for controlling machine components; putting out and transmitting the drive track control data and/or the machine control data to a control unit of the agricultural vehicle and/or agricultural machine.