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.

Abstract: Provided is a channel monitoring method, an electronic device, and a storage medium. The method includes: obtaining scan data collected by a vehicle body collection component of an automated guided vehicle (AGV) in an area around a vehicle body; obtaining video data collected by a camera in a video collection area, where the camera is one of a plurality of cameras and is used to collect video of at least a partial area of the channel to be monitored of the plurality of channels to be monitored; in a case of determining an existence of a target object based on the scan data collected by the vehicle body collection component and/or the video data collected by the camera, obtaining a target channel where the target object is located; and generating target warning information for the target channel where the target object is located.

Abstract: A method includes receiving map image data of multiple horizontal input maps of an overlapping geographical area and arranged to be displayed on a display device on a vehicle. Each input map has style data and at least one layer associated with a different type of geographical data shown on the map. The method includes generating multiple plain maps comprising removing the style data from the map image data of each input map, and determining common layers between at least two of the plain maps showing the same type of geographical data. The method includes determining data of a discrepancy map of discrepancies between the common layers of the at least two plain maps and for each common layer of the at least two plain maps, and generating an error value of the at least two plain maps comprising using the discrepancy maps.

Abstract: Method for guiding a motor vehicle in an at least partially automated manner, wherein the parameter value of at least one parameter of the at least partially automated guidance depends on occupant information relating to a vehicle occupant, wherein the item of occupant information is determined on the basis of sensor data from at least one interior sensor at least partially representing the vehicle occupant of the motor vehicle and/or from at least one temperature sensor recording a body temperature of the vehicle occupant and/or a temperature of the interior.

Abstract: A controller may obtain, from one or more sensors of an operator control of a work machine, sensor data collected from at least one hand of an operator using the operator control. The controller may determine, based on the sensor data, at least one of a physiological profile of the operator or an amount of time that the operator releases the operator control. The controller may cause, based on the at least one of the physiological profile of the operator or the amount of time that the operator releases the operator control, a limitation on a capability of a work implement of the work machine.

Abstract: Video streaming from the first external electronic device, such as the vehicle image acquisition device according to various embodiments, may be processed based on a designated state (e.g., a traffic accident) identified by the first external electronic device. For example, when receiving a notification related to a designated state from the first external electronic device, the electronic device may acquire information related to the designated state and then broadcast the obtained information to one or more terminals (e.g., terminal 130 of FIG. 5), through a second external electronic device such as a navigation server. In response to the broadcasting, the terminal may provide information related to the designated state to the user of the terminal. The information may be used to change a navigation path provided by the terminal.

Abstract: A autonomous driving system detects information related to at least one of driving conditions and surrounding conditions of a vehicle using one or more sensors, implements vehicle control using a machine learning model based on the information, presents the detection results of the sensor when a detection performance of the sensor is lower than a predetermined level, and presents the detection results of the sensor corresponding to a situation when a situation with a risk higher than a specified value occurs in the vehicle.

Abstract: A vehicle control system for controlling an output of a drive source in a vehicle includes: a drive operation member configured to receive an input regarding a driving force for the vehicle from a driver of the vehicle; and a control device configured to cause the drive source to output a driving force corresponding to the input to the drive operation member. When the control device determines that a predetermined enabling condition is satisfied, the control device enables drive restriction for limiting the output of the drive source. The enabling condition includes an input condition which is based on the input to the drive operation member acquired during a predetermined period before start of the drive source.

Abstract: Unmanned aerial vehicle (UAV) mount with a base station, also known as Flying Base Station (FBS) has garnered considerable attention for 5G and beyond communication. This invention provides a method and system for deploying a swarm of FBSs over a geographical region autonomously. The proposed 3-D deployment technique exhibit how to place a minimum number of FBSs energy efficiently over a region to offer guaranteed QoS without inter-UAV interference and UAV capacity limit violations. A Master-Slave coordination technique is revealed to maintain inter-FBS synchronization to avoid collisions during the transition. The technique for selecting intermediate hop coordinates is proclaimed under path planning.

Abstract: A system and method for mitigating or avoiding risks due to hazards encountered by platooning vehicles. The system and method involve interrogating, with one or more sensors, a space radially extending from a lead vehicle as the lead vehicle travels over the road surface, perceiving the environment within the space, ascertaining a hazard caused by an object in the space, and causing a following vehicle, operating in a platoon with the lead vehicle, to take a preemptive braking action to avoid or mitigate risks resulting from the hazard caused by the object in the space.

Abstract: While the vehicle is traveling in a segment from an entrance to a curved road to a position a predetermined distance before the entrance or while the vehicle is traveling on the curved road, the vehicle control device performs assistance control that is one or both of deceleration control based on first information and notification control, accelerates the vehicle at first acceleration in a case where second information has been acquired when the vehicle is not traveling in the segment or on the curved road and the assistance control is not operating, and accelerates the vehicle at second acceleration that is suppressed as compared with the first acceleration by ending the assistance control in a case where the second information has been acquired when the vehicle is performing the assistance control.

Abstract: A vehicle control device includes: a first control unit configured to charge a power storage element of a secondary power supply to a predetermined value; a second control unit configured to, when the power storage element is charged to the predetermined value, execute an automated parking function by outputting first electric power at a specified voltage from a primary power supply to an automated parking system while continuing to charge the power storage element; a third control unit configured to detect a sign of failure of the primary power supply during execution of the automated parking function; and a fourth control unit configured to, when the sign of failure of the primary power supply is detected, output second electric power at a voltage lower than the specified voltage from the secondary power supply to the automated parking system in parallel with the first electric power.