A method of manufacturing an autonomous cart is provided. The method includes determining a mission type for the autonomous cart and determining a power system for powering the autonomous cart based on the mission type. The method further includes determining a drive system suitable for converting a power delivered by the power system into motive power suitable for moving the autonomous cart based on the power system and the mission type. The method further includes installing the power system onto a chassis of the autonomous cart and installing the drive system onto the chassis of the autonomous cart, wherein the autonomous cart comprises a control system configured to drive the autonomous cart autonomously via the power system and the drive system.

A detector detects an overall fill level of a receiving vehicle. A mobile device on the receiving vehicle includes a mobile application that receives and displays the overall fill level of the receiving vehicle. The overall fill level can be overlaid on a geographic map that shows locations of multiple receiving vehicles, in which case an overall fill level indicator for each receiving vehicle is displayed on the geographic map as well.

A machine control system includes an agricultural work machine having an ECU coupled via a system bus to control engine functions, a GPS receiver, data collector, and specialized guidance system including a stored program. The data collector captures agricultural geospatial data including location data for the work machine and data from the ECU, and executes the stored program to: (a) capture geometries of the farm; (b) capture agricultural geospatial data; (c) automatically classify the agricultural geospatial data using the geometries of the farm, into activity/event categories including operational, travel, and ancillary events; (d) aggregate the classified data to create geospatial data events; (e) match the geospatial data events to a model to generate matched events; (f) use the matched events to generate actionable information for the working machine in real time or near real-time; and (g) send operational directives to the agricultural work machine based on the actionable information.

A work vehicle includes an automatic steering switching tool to start or end automatic steering of a vehicle body and a setting operation tool to select a setting for the automatic steering of the vehicle body. The automatic steering switching tool and the setting operation tool are positioned at an upper portion of a steering tower and below a steering wheel.

A vehicle control system for an off-road vehicle including a processing circuit including a processor and memory, the memory having instructions stored thereon that, when executed by the processor, cause the processing circuit to receive a first parameter associated with a characteristic of the off-road vehicle, receive a second parameter associated with a characteristic of an environment of the off-road vehicle, generate, based on the first and second parameters, a perception zone for the off-road vehicle, control the off-road vehicle to avoid an obstacle using the perception zone, receive an indication of a change in at least one of the first parameter or the second parameter, and update the perception zone based on the change in the at least one of the first parameter or the second parameter.

A system for estimating tire parameters for an off-road vehicle in real time, the system including a processing circuit including a processor and memory, the memory having instructions stored thereon that, when executed by the processor, cause the processing circuit to measure a position of the vehicle at a first time, determine, based on the position, motion characteristics of the vehicle, predict, based on the motion characteristics, a position of the vehicle at a second time, measure a position of the vehicle at the second time, and generate a tire parameter associated with the vehicle based on the predicted position and the measured position of the vehicle at the second time.

Systems and methods are provided for navigating based on sensed brake light patterns. In one implementation, a navigation system for a host vehicle may include at least one processing device. The at least one processing device may be programmed to receive, from a camera, a plurality of images representative of an environment ahead of the host vehicle; analyze the plurality of images to identify at least one target vehicle in the environment ahead of the host vehicle; identify, based on analysis of the plurality of images, at least one brake light associated with the target vehicle and at least one characteristic associated with changes in an illumination state of the at least one brake light; and cause a navigational change for the host vehicle based on the identified at least one characteristic associated with the changes in the illumination state of the at least one brake light.

The disclosure relates to apparatus, systems, and methods for a system for guiding a tractor and auger cart alongside a grain truck so the load can be transferred quickly with a high degree of position accuracy. This will avoid common issues with this process that result in collisions or spilled grain. The system will allow less qualified operators to perform at a higher level, eliminate errors that slow the process and/or result in down time, or slow the unloading process. Methods are disclosed that sense the position, orientation, and size of a receiving vehicle and create a guidance line for a tractor automated steering system to follow.

A system and a method for a grass maintenance comprising an autonomous vehicle (100) arranged to operate autonomously to manipulate a grass surface, wherein the vehicle (100) includes one or more environmental sensors (208) arranged to detect environmental conditions associated with the grass surface; and one or more grass manipulation modules (210) arranged to manipulate the grass surface.

Systems and methods for agricultural lane following are described. For example, a method includes accessing range data captured using a distance sensor connected to a vehicle and/or image data captured using an image sensor connected to a vehicle; detecting a crop row based on the range data and/or the image data to obtain position data for the crop row; determining, based on the position data for the crop row, a yaw and a lateral position of the vehicle with respect to a lane bounded by the crop row; and based on the yaw and the lateral position, controlling the vehicle to move along a length of the lane bounded by the crop row.