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: 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: 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: 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.

Abstract: An embodiment power control apparatus includes a power converter configured to convert a voltage supplied from a first battery into a voltage lower than the voltage supplied from the first battery, a power distributor configured to distribute power supplied from the power converter and supply the distributed power to a braking device, a steering device, a sensor, and an autonomous driving control device in duplicate, and a battery management device configured to control a charging of a second battery using the power supplied from the power distributor.

Abstract: Some embodiments provide a map application that identifies a transit route that includes one or more transit legs between a starting location and a destination location. In response to a request to start navigating the identified transit route, the map application of some embodiments provides a first display area for displaying a set of navigation instructions, each of which describes a transit maneuver that is associated with a transit leg of the transit route. The map application also provides a second display area for displaying a map region presentation associated with the navigation instruction that is displayed in the first display area.

Abstract: A routing optimization method for truck-drone integrated rescue vehicles in forest firefighting includes the following steps: collecting the data of the disaster sites caused by forest fires, calculating transportation time on road and flight time according to the data of the disaster sites, and getting the transportation time data of post-disaster relief; based on the disaster site data, transportation time data, and an amount of relief supplies that can be allocated to disaster relief sites, constructing a mathematical model of the truck-drone based vehicle routing problem; solving the mathematical model of the truck-drone based vehicle routing problem by the optimization algorithm, and specifying a post-disaster rescue route of the truck-drone integrated rescue vehicle according to the solution results. The model based on the truck-drone based vehicle routing problem method can reduce the impact of sudden natural disasters, and give full play to the advantages of truck-drone integrated rescue vehicles.

Abstract: A localization system comprises: a device; a master unit which wirelessly transmits a first localization signal; a plurality of lateration units distributed about the area within which the device is being localized, wherein each lateration unit of the plurality independently starts its own timer upon its receipt of the first localization signal; and a localization unit. The device receives the first localization signal and responsively wirelessly transmits a second localization signal. Each of the lateration units: independently receives the second localization signal; stops its respective timer responsive to receipt of the second localization signal; and wirelessly transmits a timer count signal to a localization unit. The timer count signal identifies the transmitting lateration unit and a count of its respective timer.

Abstract: An autonomous drone swarm system and method 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 laser, radio frequency, and visual communication channels. Multi-modal sensor integration including electro-optical, infrared, LiDAR and photogrammetry, radio frequency, and chemical detection provides comprehensive environmental awareness while federated learning algorithms enable distributed coordination in signal-denied environments.

Abstract: An assistance system includes: a perception module configured to collect sensor data including data tracking behavior of a vehicle occupant in a host vehicle, and to determine perception information describing a current situation warranting initiation of an interactive dialog with the vehicle occupant; an interactive goal module configured to determine an interactive goal based on the determined perception information; an interaction timing module configured to determine timing for initiating the interactive dialog based on the interactive goal; a dialog module configured to, based on the perception information and the timing, initiate the interactive dialog to provide at least one of a suggestion and an offer to the vehicle occupant; and a vehicle control module configured to control operation of at least one of a device and a system of the host vehicle in response to the vehicle occupant accepting the at least one of the suggestion and the offer.