A method for an emergency response in the event of a loss of tire pressure of a transportation vehicle including detecting a tire pressure at a wheel of the transportation vehicle and detecting an angle of inclination on an axle of the transportation vehicle associated with the wheel, A transportation vehicle for autonomous driving.

A door control device stops a door such that the door does not come into contact with an obstacle existing in a rotation range of the door. The door control device includes: a distance calculation unit configured to calculate a distance from the door to the obstacle; a speed calculation unit configured to calculate an actual speed of the door; a braking force setting unit configured to set a braking condition indicating transition of a braking force applied to the door; a speed estimation unit configured to estimate transition of an estimated speed of the door from start of braking until the door stops; and a braking force correction unit configured, during braking, to correct a braking force such that the braking force is increased, or reduced, when a time gradient of the actual speed is gentler than, or steeper than, that of the estimated speed.

A boom sprayer includes any number of components to treat plants as the boom sprayer travels through a plant field. The components take actions to treat plants or facilitate treating plants. The boom sprayer includes any number of sensors to measure the state of the boom sprayer as the boom sprayer treats plants. The boom sprayer includes a control system to generate actions for the components to treat plants in the field. The control system includes an agent executing a model that functions to improve the performance of the boom sprayer treating plants. Performance improvement can be measured by the sensors of the boom sprayer. The model is an artificial neural network that receives measurements as inputs and generates actions that improve performance as outputs. The artificial neural network is trained using actor-critic reinforcement learning techniques.

A boom sprayer includes any number of components to treat plants as the boom sprayer travels through a plant field. The components take actions to treat plants or facilitate treating plants. The boom sprayer includes any number of sensors to measure the state of the boom sprayer as the boom sprayer treats plants. The boom sprayer includes a control system to generate actions for the components to treat plants in the field. The control system includes an agent executing a model that functions to improve the performance of the boom sprayer treating plants. Performance improvement can be measured by the sensors of the boom sprayer. The model is an artificial neural network that receives measurements as inputs and generates actions that improve performance as outputs. The artificial neural network is trained using actor-critic reinforcement learning techniques.

This disclosure covers machine-learning methods, non-transitory computer readable media, and systems that generate a multiplier that efficiently and effectively provides on-demand transportation services for a geographic area. The methods, non-transitory computer readable media, and systems dynamically adjust the multiplier with machine learners to maintain a target estimated time of arrival for a provider device to fulfill a request received from a requestor device. In some embodiments, the methods, non-transitory computer readable media, and systems generate a multiplier report comprising a representation of a geographic area and an indication of the multiplier to facilitate inflow and outflow of provider devices within and without the geographic area.

A seed depth device for an agricultural planter includes an electric motor. The seed depth device also includes an actuator driven by the electric motor and arranged to move to a home position. The seed depth device further includes a first stop proximate to the actuator when in the home position. The seed depth device yet further includes at least one controller including a computing processor and a computer readable storage medium configured to control the electric motor. The seed depth device also includes a seed depth auto-learn system at least in-part stored and executed by the at least one controller, the seed depth auto-learn system configured to learn the home position based at least in-part on the actuator stalling upon the first stop, wherein the seed depth auto-learn system is configured to move the actuator a prescribed distance away from the first stop to establish the home position.

An agricultural work machine, in particular a harvester, has a header for performing agricultural work and having a control device which has at least one sensor unit for detecting a crop stream in and/or around the header and an image processing unit for processing images which are generated by the sensor unit based on the crop stream detected via sensor. The control device is configured to detect regions of like characteristics, components of the header and properties of the crop stream and is configured to use that which has been detected for open loop control and/or closed loop control of process sequences in the agricultural work machine.

A method and apparatus is disclosed for determining a stochastic binary string (SBS) representing a value based on the value represented in binary two's complement. Several different generators are disclosed for generating SBS strings, each being generated to have particular features that are advantageous under various conditions in which the string is to be multiplied with another SBS string. Several such generators can be presented and selected depending upon the particular values to be converted to SBS representation and the functions to be performed on those values.

A method and apparatus is disclosed for determining a stochastic binary string (SBS) representing a value based on the value represented in binary two's complement. Several different generators are disclosed for generating SBS strings, each being generated to have particular features that are advantageous under various conditions in which the string is to be multiplied with another SBS string. Several such generators can be presented and selected depending upon the particular values to be converted to SBS representation and the functions to be performed on those values.

Gaming devices, systems, and methods are provided. The gaming device includes a display device, an image capture device to capture images of eyes of multiple users of the device, and a processor circuit. A memory includes machine-readable instructions that, when executed by the processor circuit, cause the processor circuit to generate, for each of the images of eyes of the plurality of users, gaze direction data corresponding to gaze directions of the eyes of each of the plurality of users and, based on the gaze direction data of the plurality of users, modify a gaming device function.