Abstract: A vehicle including a body, a camera, and a radius tracking controller. The camera coupled to the body, the camera configured to capture an image of a subject. The radius tracking controller coupled to the body. The radius tracking controller configured to: determine a radius of a virtual sphere around the vehicle based on a configuration of the camera. The radius tracking controller configured to: determine a distance between a vehicle position of the vehicle and a previous target position of the vehicle. The radius tracking controller configured to: determine an intersection between the previous target position and a subject position of the subject relative to the vehicle. The radius tracking controller configured to: set a determined intersection where the vehicle and the subject intersect. A vehicle controller interface module coupled to the body, the vehicle controller interface module configured to move the vehicle towards the determined intersection.

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed An example apparatus includes interface circuitry, machine readable instructions, and programmable circuitry to at least one of instantiate or execute the machine readable instructions to: collect historical vehicle usage data that includes: descriptions of agricultural activities performed on a field, start points of the agricultural activities, and timestamps associated with the agricultural activities, cluster two or more of the start points together, wherein the two or more start points are selected based on one or more of the historical vehicle usage data, historical weather data, historical field data, or historical policy data, generate a new start point based on the cluster, the generated start point being located within the field, and transmit the generated start point to a vehicle that is associated with the field.

Abstract: A vehicle seat including a seat cushion, a seat back, a reclining mechanism, a lumbar support mechanism, and a control unit, wherein the control unit pushes out a support surface toward an occupant by the lumbar support mechanism when the seat back tilts rearward by a predetermined angle or more.

Abstract: A controller for a machine may receive an activation command to activate a metering operation that is to vibrate an implement of the machine by repetitive changing of at least one of an angle or a position of the implement. The controller may generate, while the metering operation is ongoing, a metering control signal for the metering operation by adjusting a baseline metering signal in accordance with sensor data relating to a characteristic of the implement. The controller may cause actuation of an implement actuator for the implement in accordance with the metering control signal.

Abstract: The embodiments disclose an aerial drone navigation system including an aerial drone having a camera, LIDAR detection device, and autonomous navigation sensors, a computer vision system onboard the drone identifies human or animal targets using artificial intelligence, a mobile device wirelessly coupled to the drone receives live video, LIDAR data, and tracking information, communication module on the drone includes cellular and mesh hardware for transmitting sensor and location data to the mobile device or remote command nodes, a guidance control module autonomously directs the drone along a calculated path while avoiding static or dynamic obstacles detected by the LIDAR, a command interface receives mission parameters or rerouting instructions from an operator device, a wearable visual display device operable without a physical wired connection, configured to receive augmented or mixed reality overlays, interface with an AI engine for interpreting mission data, and accept voice input for authentication and

Abstract: The present invention provides systems, methods and algorithms based on specifically programed computer artificial intelligence expert system technology for determination of preferred routes of travel for electric vehicles (EVs). The systems, methods and algorithms provide such route guidance for battery-operated EVs in-route to a desired destination, but lacking sufficient battery energy to reach the destination from the current location of the EV. Such specifically programmed computer machines may be located in the EV and/or cloud-based or remote computer/data processing systems for the determination of preferred routes of travel, including intermediate stops at designated battery charging or replenishing stations. Expert system algorithms operating on combinations of expert defined parameter subsets for route selection are disclosed. Specific fuzzy logic methods are also disclosed for route evaluation and selection of a particular route.

Abstract: A high voltage management system for an electrified vehicle having firmware over-the-air (FOTA) capability receives, via a wireless communication medium, a FOTA flash update for a set of components of the electrified vehicle, receives, from a customer, a customer input indicating a desired time to perform the FOTA flash update, coordinates the FOTA flash update of a set of components based on the customer input, controls an electrified powertrain, including a high voltage system, of the electrified vehicle, and ignores or rejects a plurality of valid high voltage wakeup requests for the high voltage system to prevent interruption of the FOTA flash update of the set of components.

Abstract: A vehicle includes: a battery; a thermal management system; and an ECU. The thermal management system includes an electric pump that circulates a heat medium that exchanges heat with the battery. The thermal management system performs thermal management in the vehicle. When a temperature of the battery is raised using the thermal management system, ECU controls the electric pump such that a noise caused by driving of the electric pump is suppressed when there is no background noise as compared with when there is a background noise, the background noise being a noise caused by a device other than the electric pump.

Abstract: A network for actuating a plurality of controllers to perform a selected functions includes a plurality of programmable chips communicatively coupled to a corresponding controller. Each programmable chip includes a software manager having a first data processing hardware and a first memory hardware. The first memory hardware stores instructions that causes the first data processing hardware to perform a primary function. An activation profile is stored in the first memory hardware and includes a list of software entities having an identifier identifying a primary function and/or a dependent function. The software manager of at least one of the plurality of controllers is further configured to process the activation profile and perform activation of the software entities by determining each of the plurality of controllers that hosts the software entities having the primary function and/or dependent function needed to perform the desired function.

Abstract: A method for operating a vehicle having at least one functional unit for performing a driving function, wherein the functional unit is controllable by a control unit of the vehicle to execute the driving function in an automated driving mode. The method includes carrying out an initialization process to activate a manual driving mode for externally controlling the driving function via an operating device. Additionally, the disclosure pertains to a computer program product and a system associated with the vehicle.

Abstract: An example operation includes one or more of receiving a request for charge from a vehicle from a software application on the vehicle, where the request comprises an identifier of a destination of the vehicle and a state of charge (SOC) of the vehicle, determining a charging time for the vehicle at a charging station based on the SOC, dynamically selecting content from among a database of content based on the destination and the charging time, detecting the vehicle performing a charging operation at the charging station, and delivering the dynamically selected content to a graphical user interface (GUI) of the software application while the vehicle is performing the charging operation.

Abstract: Systems and methods of determining distance bounds for adaptive cruise control. An autonomous vehicle system can identify a second vehicle on the roadway that is traveling in front of the autonomous vehicle; determine a speed of the second vehicle while the second vehicle travels along the roadway; generate a distance bound between the autonomous vehicle and the second vehicle based on the speed of the second vehicle and a speed of the autonomous vehicle; and control the speed of the autonomous vehicle to implement adaptive cruise control according to the distance bound.

Abstract: An autonomous pile driving system comprises an arm of an autonomous offroad vehicle (AOV) configured to hold and drive a pile, a chute configured to stabilize the pile as the pile is being driven. The autonomous pile driving system further comprises a controller configured to identify a location in the geographic area where a pile is to be driven (e.g., installed) and position the chute at the location. The controller aligns the pile secured by the AOV with an opening of the chute and inserts the pile into the chute by actuating an arm (or other suitable component) of the AOV securing the pile.

Abstract: A mobile robot includes a chassis, a tractive element coupled to the chassis, a driveline coupled to the chassis and configured to drive the tractive element to propel the mobile robot, a control system communicably coupled to the driveline, and a platform assembly removably coupled to the chassis. The platform assembly defines an occupant riding area. The mobile robot also includes a controller removably coupled to the platform assembly and communicably coupled to the control system. The controller is configured to receive an input from a user of the controller, and transmit the input to the control system. The control system is configured to operate the driveline based on the input.

Abstract: A notification device includes a processor, and the processor is configured to: receive a signal that indicates occurrence of an abnormal state of a mobile body that is movable through unattended operation, and specify a notification target that meets a specification condition determined in advance from one or more specification targets that include at least one of a worker and a station; and send a notification to instruct handling of the abnormal state of the mobile body to the specified notification target.

Abstract: An autonomous drone swarm system and method for subterranean and GPS-denied operations utilizing artificial intelligence for coordinated operations comprises command drones equipped with large language model processors and subordinate drones coordinated through a hierarchical Queen-Worker architecture. The system processes natural language commands, generates autonomous mission plans, and coordinates multi-drone operations through an encrypted self-healing mesh communication network utilizing multiple modalities including radio frequency, optical, acoustic, and visual channels. A Unified Ground Frame with Surface-Referenced Z (UGF-SRZ) coordinate system provides signed vertical coordinates enabling seamless operation across surface and subterranean environments. GPS-denied navigation combines multi-sensor dead reckoning, collaborative positioning, and distributed mapping with fog-layer processing for enhanced accuracy.

Abstract: Disclosed systems and methods for customizable commands for vehicle operation include one or more command sensors configured to receive a command from a user, one or more environmental sensors configured to collect environmental information, and one or more processors. The one or more processors are operable to cause the systems to determine, based on a command database and user command profiles, whether the received command includes a high-level function of vehicle operation, in response to determining that the received command includes the high-level function, generate sequential vehicle operations based on the high-level function and the environmental information, the sequential vehicle operations including one or more fundamental functions of vehicle operation, and operate a vehicle using the sequential vehicle operations.

Abstract: The Vehicle-in-Virtual-Environment (VVE) technology described herein is directed to the use of a computational system and software that generates a highly realistic real world or representative 3D environment, generates raw perception and localization and communication sensor information from that environment, and feeds these to the autonomous driving computer system in an autonomous vehicle (AV) such that the autonomous driving system behaves as if it is in that environment.

Abstract: A work machine controller is configured to, when in a swinging operation, identify a circumferential operation start position of the tip of an arm based on a detected posture of the work device, and identify an angular interference prevention position in a swing direction that does not interfere between a vessel being loaded and the work device. A lower limit value of a height direction of the work device corresponding to the angular position in the swing direction of the arm is calculated to be within an operating range of the swing body from the identified operation start position to the interference prevention position. While the swinging body is in motion, the controller invalidates the operation of the arm and controls the movement of the boom and the swinging body so that the height of the tip of the arm does not fall below the lower limit value.

Abstract: A vehicle control device is configured to acquire a camera image obtained by imaging a surrounding situation of a vehicle, generate a traveling possible region, which is a region where the vehicle is able to travel, based on first information including a traveling route shape defined by a road marking line captured in the camera image and second information including a traveling route shape defined by a road marking line included in map information, and control traveling of the vehicle so that the vehicle travels in the generated traveling possible region, and the processor further sets any one of the first information and the second information as priority information based on information regarding one or more stationary targets included in the first information or the second information to generate the traveling possible region from the set priority information.