An agricultural work vehicle capable of communicating with a host computer and capable of being steered by a remote control device so as to enable the agricultural work to link with the host computer and perform in an optimum work form, wherein the agricultural work vehicle is provided with a position calculation means measuring the position of the machine body, a steering actuator operating a steering device, a shifting means, and a control device controlling them. An optimum working speed and an optimum work driving value calculated from past and current weather information, field information, work information, work machine information, and crop information are transmitted from the host computer to the control device. The agricultural work vehicle is controlled and caused to work at the optimum working speed and the optimum work driving value along a set travel path.

In order to use a manned-travel work vehicle, such as a multi-purpose transport vehicle, for transporting machinery or material or for moving for the purpose of work, a rest or the like, and to cause an unmanned-travel work vehicle to reliably arrive at a destination using wireless communication, the present invention provides a work vehicle transport system. In the transport system, travel trajectory information about a travel trajectory of a first vehicle that is a manned-travel work vehicle to a work location is transmitted via wireless communication to a second vehicle, and it is determined whether the second vehicle is to perform unmanned-travel along the travel trajectory.

A mowing vehicle 1 provided with a traveling machine 10 and a mowing device 20 includes a first image-capturing device 30 and a controlling unit C configured to control the traveling machine 10 to travel autonomously along a boundary line of grass before and after mowing formed by the mowing device 20. The controlling unit C includes a boundary-detecting unit C2 configured to detect the boundary line and a traveling-controlling unit C3 configured to control traveling directions of the traveling machine 10. The boundary-detecting unit C2 is configured to generate intensity distribution information regarding texture information in a predetermined direction by filtering with a Gabor filter on a captured image. The boundary-detecting unit C2 is configured to carry out statistical processing on the intensity distribution information per inspection area divided in plural in a vertical direction so as to detect boundary points and to detect the boundary line from the boundary points per the inspection area.

A field computer for use in an agricultural vehicle is provided. The field computer includes a housing, a processor disposed within the housing, a touchscreen display operatively connected to the housing and the processor and forming an outer surface of the field computer, and a light bar comprising a plurality of lighting elements arranged in a line on the field computer. The lighting elements of the light bar are positioned such that the lighting elements remain hidden when not in use. The field computer is configured to provide feedback associated with operation of the agricultural vehicle by lighting one or more of the lighting elements in the light bar.

A hydraulic system for controlling at least one steerable caster wheel of an agricultural machine includes a first actuator having a piston and including an inboard fluid port for supplying fluid to a first side of the piston to move the piston in a first direction, and an outboard fluid port for supplying fluid to a second side of the piston to move the piston in a second direction. A first fluid pressure equalizer is fluidically coupled to the first side actuator and operable to equalize fluid pressure over a period of time between the first side and the second side of the piston of the first side actuator.

A farming system includes a field engagement unit. The field engagement unit includes a support assembly. The support assembly includes one or more work tool rail assemblies. The field engagement unit additionally includes one or more propulsion units which provide omnidirectional control of the field engagement unit. The field engagement unit additionally includes one or more work tool assemblies. The one or more work tool assemblies are actuatable along the one or more work tool rail assemblies. The farming system additionally includes a local controller. The local controller includes one or more processors configured to execute a set of program instructions stored in memory. The program instructions are configured to cause the one or more processors to control one or more components of the field engagement unit.

An automated system for moving a crop harvester relative to an obstacle in a crop field. The system includes a sensor that is configured to sense a presence of the obstacle in the crop field, and transmit a signal corresponding to the presence of the obstacle. A motor is configured to move the crop harvester relative to the agricultural vehicle. A controller is configured to activate the motor based upon the signal received from the sensor and thereby move the crop harvester relative to the agricultural vehicle to prevent physical contact between crop harvester and the obstacle.

An automated system for moving a crop harvester relative to an obstacle in a crop field. The system includes a sensor that is configured to sense a presence of the obstacle in the crop field, and transmit a signal corresponding to the presence of the obstacle. A motor is configured to move the crop harvester relative to the agricultural vehicle. A controller is configured to activate the motor based upon the signal received from the sensor and thereby move the crop harvester relative to the agricultural vehicle to prevent physical contact between crop harvester and the obstacle.

Apparatuses, systems, and techniques to generate one or more confidence values associated with one or more objects identified by one or more neural networks. In at least one embodiment, one or more confidence values associated with one or more objects identified by one or more neural networks are generated based on, for example, one or more neural network outputs.

This work vehicle is provided with an emergency brake function for quickly bringing said work vehicle to an emergency stop when an abnormality has occurred inside of the vehicle. The work vehicle comprises: a foot brake for braking left and right rear wheels; an autonomous travel unit that enables autonomous travel of the vehicle; and an electric actuator for switching the foot brake between a braking state and a release state. The autonomous travel unit comprises a control unit that controls the operation of the electric actuator. When in an autonomous travel mode, the control unit controls the operation of the electric actuator and switches the foot brake from the release state to the braking state when an abnormality is detected inside of the vehicle on the basis of detection information from a vehicle state detection device for detecting the state of each part of the vehicle, or when an emergency stop command is acquired from a wireless communication device set so as to be capable of wireless communication with the autonomous travel unit.