This autonomous traveling system is provided with a path preparation unit, a forward movement control unit, a backward movement control unit, and a turn control unit. The path preparation unit prepares a plurality of straight line paths. The forward movement control unit causes a rice planting machine to execute work and simultaneously causes the rice planting machine to travel along a straight line path by performing at least autonomous steering. After an operator has stopped the rice planting machine traveling toward an edge of a field, the backward movement control unit causes the rice planting machine to travel backward in an autonomous manner or in accordance with operation by the operator, without causing the rice planting machine to execute any work. On conditions that, after the rice planting machine moving backward by the backward movement control unit has stopped in an autonomous manner or in accordance with operation by the operator and an instruction for forward movement has been provided by the operator, the turn control unit causes the rice planting machine to turn toward a predetermined straight line path by performing at least autonomous steering without causing the rice planting machine to execute any work.

A method for controlling an autonomous vehicle includes: controlling, by a stationary control unit connected to a radio access network, an autonomous vehicle via a wireless connection of the autonomous vehicle to the radio access network, wherein the autonomous vehicle moves in a predefined path network; allocating, by the radio access network, spectral resources to the wireless connection while the autonomous vehicle is moving; and determining, by the stationary control unit, a path of the autonomous vehicle in the predefined path network depending on the spectral resources used by the wireless connection of the autonomous vehicle while moving along the determined path.

A mobile agricultural machine obtains an agricultural characteristic map indicative of agricultural characteristics of a field, wherein the agricultural characteristic map is based on data collected at or prior to a first time. The mobile agricultural machine obtains supplemental data indicative of characteristics relative to the worksite, the supplemental data collected after the first time. An agricultural characteristic confidence output, indicative of a confidence level in the agricultural characteristics indicated by the agricultural characteristic map, is generated based on the agricultural characteristic map and the supplemental data. In some examples, an action signal is generated to control an action of the mobile agricultural machine based on the agricultural characteristic confidence output.

Embodiments of an intelligent hybrid powertrain system include an engine, a controller architecture, and an electric drive subsystem having a battery supply and a motor/generator. The controller architecture is configured to: (i) monitor a current state of charge (SoC) of the battery supply when the combine harvester engages in a combine harvest cycle having a tank fill phase and a tank unload phase; (ii) during the tank fill phase, operate the motor/generator to supplement the engine power output and regulate a rate of battery discharge to prevent the current SoC of the battery supply from decreasing below a lower predetermined SoC threshold prior to completion of the tank fill phase; and (iii) during the tank unload phase, operate the motor/generator to charge the battery supply until the current SoC of the battery supply is equal to or greater than a first upper predetermined SoC threshold.

A mobile agricultural machine receives a topographic map indicative of topographic characteristics of a worksite, wherein the topographic characteristics are based on data collected at or prior to a first time and receiving supplemental data indicative of characteristics relative to the worksite, the supplemental data collected after the first time. A topographic confidence output is generated which is indicative of a confidence level in the topographic characteristics of the worksite as indicated by the topographic map, based on the topographic map and the supplemental data. In some examples, an action signal is generated to control an action based on the topographic confidence output.

A work vehicle includes a steering wheel on a rear side with respect to a display, in front of a driver seat, and that includes spokes and a ring-shaped portion connected to the spokes. An opening is between the spokes and the ring-shaped portion. The work vehicle further includes a steering controller to change a steering angle of a steerable wheel based on a wheel angle that is a rotation angle of the steering wheel about a wheel rotation shaft, and an adjuster to adjust a relationship between the wheel angle and the steering angle.

Methods and systems for operating a detasseler machine to optimize detasseling efficiency. Front-facing image data is captured by a camera positioned with a field of view in front of the detasseler machine as the detasseler machine operates in a crop field. A new set of machine operating parameters for the detasseler machine is periodically determined based on the a set of crop parameters indicated by the front-facing image data and control signals are transmitted to one or more actuators to operate the detasseler machine according to the determined set of machine operating parameters. In some implementations, rear-facing image data used to quantify missed tassels left by the detasseler machine and the machine operating parameters are further adjusted to reduce the missed tassel metric. The mechanism for determining the set of machine operating parameters is then retrained based on the adjusted machine operating parameters.

Systems and methods are disclosed herein for automatically controlling wheel lean in a work vehicle (e.g., a motor grader) comprising a front portion with an axle and a plurality of traction wheels configured to lean at a wheel-lean angle relative thereto. Based on output signals from one or more sensors mounted on the work vehicle, work conditions are detected comprising an actual wheel-lean angle of at least one wheel relative to the axle, an oscillation angle of the axle, and a slope of the terrain. In automatic control operations, wheel lean is automatically directed to a predetermined orientation (e.g., corresponding to a direction of gravity), based at least on detected work conditions. Wheel lean may further be automatically directed based on detected steering inputs for positioning of the traction wheels and a detected articulation angle for positioning of the front portion of the work vehicle relative to the rear portion.

A method of operating a motor vehicle. A request for coupling a power take-off is detected. It is checked (12) whether relevant boundary conditions for coupling the power take-off are fulfilled. If the boundary conditions are fulfilled, a system pressure for actuating the power take-off clutch is built up (16). It is checked (18) whether sufficient system pressure to actuate the power take-off clutch has been built up. When sufficient system pressure has sufficiently been built up, a confirmation signal is produced (20). In reaction to the confirmation signal, a driving transmission control unit is modified (34) in order to actuate the at least one shifting element of the driving transmission with a higher actuation pressure than with an unmodified driving transmission control unit.

A soil measure, such as a soil cone index, and a vehicle index indicating the amount of force the vehicle exerts on the ground as it travels over the ground, are obtained and compared to identify a soil damage score. The soil damage score can be mapped over a field and an agricultural vehicle can be controlled based upon the soil damage score.