Abstract: An agricultural harvester includes a crop processor for reducing crop material to processed crop, an unload conveyor for transferring a stream of processed crop out of the harvester, and a camera for capturing images of an area proximate the harvester and generating image data from the captured images. One or more computing devices are configured for receiving the image data from the camera, identifying, from the image data, a visual marker corresponding to a receiving vehicle, and determining, from the visual marker, a location of the receiving vehicle relative to the agricultural harvester. An electronic device presents, on a graphical user interface of the device, a graphical representation of the relative locations of the unload conveyor and at least a portion of the receiving vehicle, the graphical representation based on the location of the receiving vehicle relative to the agricultural harvester determined by the one or more computing devices.

Abstract: A system may include a first vehicle and a first control system that may control one or more vehicle operations of the first vehicle. The first control system may perform operations including receiving a first vehicle operation signal from a second control system associated with a second vehicle, sending one or more requests to one or more computing systems for a confirmation of the first vehicle operation signal, and determining a set of vehicle instructions to control the one or more vehicle operations based on whether one or more responses from the one or more computing systems provide the confirmation. The first control system may then control the first vehicle based on the set of vehicle instructions.

Abstract: An unmanned aerial vehicle (UAV) or “drone” executes a neural network to assist with inspection, surveillance, reporting, and other missions. The drone inspection neural network may monitor, in real time, the data stream from a plurality of onboard sensors during navigation to an asset along a preprogrammed flight path and/or during its mission (e.g., as it scans and inspects an asset).

Abstract: A mobile delivery apparatus is provided. Another aspect provides a software program used with a mobile delivery apparatus. Still another aspect includes a mobile delivery system utilizing a smart carousel dispenser. An aspect of the mobile delivery apparatus includes a delivery vehicle having a motor operable to drive terrestrial wheels of the delivery vehicle, a cargo box section, a carousel positioned in the cargo box section, and a plurality of storage bins positioned on the carousel. A further aspect includes at least one scanner positioned adjacent a first access door and configured to scan the bins and the parcels held in the bins as the carousel rotates. Yet another aspect employs a controller to rotate the carousel and selectively align one or more of the storage bins with a second access door.

Abstract: A computer-implemented method when executed by data processing hardware of a legged robot causes the data processing hardware to perform operations including receiving sensor data corresponding to an area including at least a portion of a docking station. The operations include determining an estimated pose for the docking station based on an initial pose of the legged robot relative to the docking station. The operations include identifying one or more docking station features from the received sensor data. The operations include matching the one or more identified docking station features to one or more known docking station features. The operations include adjusting the estimated pose for the docking station to a corrected pose for the docking station based on an orientation of the one or more identified docking station features that match the one or more known docking station features.

Abstract: A railborne driver assistance device for supporting or automating the lateral control of a vehicle includes a first processing unit configured to control a steering torque intervention by establishing a steering angle with a stationary control accuracy of an electrically supported steering system. A second processing unit is configured to adjust the stationary control accuracy of the steering angle via the output of an accuracy request signal to the first processing unit in such a way that there is a scaling of the control accuracy between a lower and an upper threshold value. The second processing unit includes a control unit having an integrator with an input and an output, wherein the output of the integrator is connected to the input in a closed-loop manner with a weighting dependent on the accuracy request signal.

Abstract: A method for operating a driver information system in an ego vehicle is provided, in which environment data in an environment of the ego vehicle are captured, and an additional road user is identified using the captured environment data. A driver information display is generated and output, wherein the driver information display comprises a graphic road user object which represents the additional road user. A depiction-relevant feature of the additional road user is determined, and the road user object assigned to the additional road user is generated depending on the depiction-relevant feature.

Abstract: Systems and methods are disclosed for managing task assignments for a fleet of haul trucks at a mine site. An assignment engine may: receive state data for a haul truck including haul weight data and second state data for the mine site that is indicative of a plurality of available tasks and associated task material weight data; assign a task to the haul truck by inputting the state data into a trained reinforcement-learning model, wherein: the model has been trained to learn an assignment policy that optimizes a reward function, such that the learned policy accounts for vehicle performance variance due to changing vehicle haul weight and/or road conditions; and cause the at least one haul truck to be operated according to the at least one task assignment.

Abstract: The present invention transforms flight profile information, terrain, weather/atmospheric data and flight parameter data via system components into comprehensive hazard avoidance optimized flight plans. Comprehensive hazard avoidance includes synergistic comprehensive turbulence and airfoil-specific icing data. In one implementation, the system comprises a processor and a memory disposed in communication with the processor and storing processor-issuable instructions to receive anticipated flight plan parameter data, obtain weather data based on the flight plan parameter data, obtain atmospheric data based on the flight plan parameter data, and determine a plurality of four-dimensional grid points based on the flight plan parameter data. The system may then determine comprehensive hazards mappings.

Abstract: A vehicle control system includes an integration unit that estimates information on a position and a speed of a target existing in an external field and errors of the position and the speed of the target, based on information from a movement sensor that acquires movement information including a vehicle speed and a yaw rate of an own vehicle, and information from an external field sensor that acquires information on the external field of the own vehicle. The integration unit uses not the information from the external field sensor, but the vehicle speed and the yaw rate acquired by the movement sensor, to predict a position and a speed of the target and errors of the position and the speed of the target at a second time after a first time, from a position and a speed of the target and errors of the position and the speed at the first time.

Abstract: A system and method, including: a data input device coupled to a vehicle, wherein the data input device is operable for gathering input data related to one or more of an environmental context surrounding or within the vehicle, an occupant state within the vehicle, a vehicle state, a location of the vehicle, and a noise condition inside or outside of the vehicle; an artificial intelligence system coupled to the data input device, wherein the artificial intelligence system is operable for generating a sound qualifier based on the gathered input data related to the one or more of the environmental context surrounding or within the vehicle, the occupant state within the vehicle, the vehicle state, and the noise condition inside or outside of the vehicle; and an audio generation module operable for receiving the sound qualifier from the artificial intelligence system and synthesizing a soundscape based on the sound qualifier.

Abstract: Methods and systems for controlling driving maneuvers of a motor vehicle driving in a current driving lane on a road are described. Spatio-temporal regions defining free regions and/or occupied regions in the current driving lane and a further driving lane, adjacent to the current driving lane of the motor vehicle, are determined. Changing regions, in which a driving lane change between the current and the further driving lanes is possible, and/or lane-keeping regions, in which a driving lane change between the current and the further driving lanes is not possible, are determined based on the free and/or occupied regions. Possible driving maneuvers of the motor vehicle at least between changing regions and/or lane-keeping regions that adjoin one another in pairs are determined and executed.

Abstract: A method comprises checking whether a motor vehicle is driving based on the incremental sensor units, checking whether the motor vehicle is driving in a straight line based on a driving direction sensor unit, checking whether each wheel is slide-free and slip-free based on the incremental sensor units, determining the distance driven by each wheel based on the sensor value of the respective incremental sensor unit and the radius to be iteratively determined of the wheel of a previous iteration, determining the distance driven by the motor vehicle based on the distance driven by each wheel, determining the radius to be iteratively determined of the wheel based on the distance traveled by the motor vehicle and the sensor value of the respective incremental sensor unit, verifying that a validation condition is met and then repeating the aforementioned steps.

Abstract: A control method of a vehicle (1) according to the present disclosure is a control method for controlling a vehicle (1) that has tires (6) mounted thereon and drives autonomously on a course (200) that includes a banked section (230). The control method includes an acquisition step of acquiring a detection result of a sensor (12) that detects information about the vehicle (1) or the course (200), and a control step of stopping the vehicle (1) so that the vehicle (1) does not enter the banked section (230) when it is determined that there is another vehicle in the banked section (230) based on the detection result of the sensor (12).

Abstract: Systems and methods are presented herein for enabling a vehicle, configured to support autonomous vehicle operation, to change a location of the vehicle based on the detection of an impending impact with the vehicle. A starting location of the vehicle is determined while the vehicle is parked, unoccupied, and comprises an inactive powertrain. In response to determining a watchdog state is enabled, data corresponding to the location is accessed from within a threshold distance of the vehicle. An identifier and a trajectory of an object is determined. In response to determining that the trajectory corresponds to an impact path with the vehicle, an evasive route for the vehicle is determined that terminates at a safe location not subjected to the impending impact. An instruction to activate the vehicle powertrain and an autonomous mode of the vehicle to execute the identified evasive route is transmitted for the vehicle to process.

Abstract: In order to appropriately determine whether or not a moving body can pass through a passage in a target range for generating a movement path, a passability determination apparatus 100 includes: an obstacle detection section 153 configured to detect a passage obstacle obstructing passage of a moving body 50, based on image information obtained by imaging a target range for generating a movement path for the moving body 50; a determination section 155 configured to determine passability for the moving body through a passage area included in the target range, based on detection of the passage obstacle; and a transmission processing section 157 configured to send passability information related to the passability for the moving body 50, to a movement path generation apparatus 200 generating the movement path.

Abstract: A program for assisting an inspection of a vehicle causes an inspection assistance apparatus 2 to function as: a registration information acquisition unit 251 that acquires vehicle registration information corresponding to the vehicle; a vehicle identification number acquisition unit 252 that acquires a vehicle identification number indicating a type of the vehicle from an in-vehicle wireless device having wireless identification information associated with the vehicle registration information; an inspection item information acquisition unit 253 that acquires inspection item information indicating a plurality of inspection items associated with the type of the vehicle indicated by the vehicle identification number; and a display control unit 254 that causes a display unit to display, as inspection target items, the plurality of inspection items indicated by the inspection item information.

Abstract: A method can be utilized to reduce the kinetosis effect in passengers of motor vehicles having an autonomous and/or semi-autonomous driving mode. By means of a display unit, an image generated from image data is displayed to at least one passenger in a display area of the display unit while the motor vehicle is moving. The method may involve estimating a future change in an acceleration of the motor vehicle and modifying the image data based on the estimated future change in acceleration by way of a correction algorithm such that an effect of a relative movement between the displayed image and the passenger is reduced.

Abstract: A vehicle power supply system includes a main power supply system including a main low-voltage power supply and a normal load; and a backup power supply system including a backup low-voltage power supply and an emergency important load. The backup power supply system includes a backup power supply control device. The backup power supply control device executes a suppliable electrical energy estimation process of estimating suppliable electrical energy suppliable from the backup low-voltage power supply to the emergency important load. The backup power supply control device outputs a signal based on a first electrical energy threshold value and a second electrical energy threshold value.

Abstract: A circuit arrangement for controlling a system for a seat comfort function includes at least one actuator with at least one adjusting element and at least one SMA element, wherein the adjusting element can be moved from a first position to a second position. At least one resistance measuring device measures a resistance of the at least one SMA element. At least one driver unit activates the actuator with the at least one SMA element. A control unit controls the driver unit, the driver unit being configured for processing an output signal of the resistance measuring device. The circuit arrangement is configured so that the resistance measuring device and the driver unit are alternatingly operationally connected to the SMA element. Related methods of operation and seats are disclosed.