Abstract: Disclosed is a location-based service based on a user point of interest (POI). An electronic device comprises: a processor for generating a database related to a user POI; detecting the user request for information; and an output unit for outputting information based on the user POI database. The user POI can indicate at least one place extracted from the information inputted to the electronic device.

Abstract: A shovel control method includes performing a plane position control or a height control of an end attachment by an operation of one lever. The plane position control is performed while maintaining a height of the end attachment. The height control is performed while maintaining a plane position of the end attachment.

Abstract: According to one implementation, a flight support system of an aircraft includes storage and an information processing device. The storage stores position information on at least one river above which a space is an option for a flight path of the at least one aircraft. The information processing device automatically determines at least whether the flight path of the at least one aircraft should be over a specific river included in the at least one river in order to fly the at least one aircraft to a destination, based on the position information stored in the storage.

Abstract: The efficiency of commercial vehicle operations can be facilitated by using a blockchain. The blockchain can be used to track commercial operators and provide a logistical network for swapping operators. An operator identity for an initial operator of a vehicle and a route limitation indicating operator restrictions with respect to a route can be recorded in a blockchain database. Using a vehicle operation history retrieved from the blockchain database for the initial operator, a time frame for operation of the vehicle by the initial operator can be determined based on the route limitation and the vehicle operation history. An operator swap event at a swap location can be coordinated so that control of the vehicle can be transferred from the initial operator to a subsequent operator based on the time frame. The operator swap event and a subsequent operator identity can be recorded in the blockchain database.

Abstract: An adjustable vehicle seat includes a seat base having a seat surface and a backrest having a backrest surface. In the seat base and/or in the backrest, sensors are provided that detect forces, pressures and/or movements effected by a person sitting on the vehicle seat and consequently issue a signal. A control device is provided that detects the signals issued by the sensors and actuates actuators provided in the vehicle seat to adjust the seat base and/or backrest, or components thereof, in order to adjust the vehicle seat.

Abstract: A method, a system, and a non-transitory computer-readable storage medium are provided for generating history information associated with a point of interest (POI). The method includes obtaining POI information associated with the POI, extracting relevant POI information from the obtained POI information based on relevance of the POI information with history of the POI, and generating history information associated with the POI in real-time on a user interface from the extracted relevant POI information. The method further includes generating a comparison view of the obtained POI information associated with the POI and comparing the obtained POI information associated with the POI for extracting relevant POI information. The method further includes indexing the extracted POI information using a unique address identifier and storing the indexed POI information in a map database.

Abstract: An object recognition device includes: a sensor; a storage device; and a processor configured to detect a first object and a second object around the vehicle, initially set, based on a detection position of the first object, an integration determination distance used to determine that the first object and the second object belong to the same object, estimate a traveling direction of the first object based on the sensor detection information, increase the integration determination distance along the traveling direction, after increasing the integration determination distance along the traveling direction, determine, based on the integration determination distance, whether the first object and the second object belong to the same object, and output the first object and the second object as the same object when it is determined that the first object and the second object belong to the same object.

Abstract: An Unmanned aerial vehicle (UAV) for detecting and communicating safety-related events to a safety server is provided. A network status of a communication network over which devices associated with the vehicle are communicating with the safety server is identified. The UAV receives metadata including at least location data from the devices when the network status of the communication network indicates low or unavailable connectivity that is hindering communication of the metadata to the safety server by the devices. The UAV processes the metadata and detects safety events associated with the vehicle. The UAV communicates the safety events to the safety server based on at least a safety criterion including detachment of the UAV from the vehicle when the UAV is unable to communicate with the safety server in its attached configuration with the vehicle due to network issues.

Abstract: Example methods, apparatus, systems, and machine-readable mediums for an artificial intelligence platform for mobile charging of rechargeable vehicles and robotic devices are disclosed. An example method may include determining that a mobile vehicle is operating within a region and determining that the mobile vehicle requires charging of a battery for the mobile device while operating within the region. The method may further comprise identifying a charging station available within the region for charging of the battery at a time and a location within the region and navigating at least one of the mobile vehicle or the charging station to the location at the time for charging the battery of the mobile vehicle.

Abstract: A vehicle control system includes an automated driving control unit for controlling, based on surrounding environment information of a vehicle, driving, braking, and/or steering of the vehicle without depending on a driving operation of a driver; and a driving support control unit for supporting driving of the vehicle by the driver by controlling driving, braking, and/or steering of the vehicle. The control units are communicably connected. The driving support control unit can control, depending on a reception result of a signal received from the automated driving control unit, steering, and driving and/or braking of the vehicle based on the surrounding environment information without depending on the driving operation of the driver.

Abstract: A device for setting a target vehicle that sets a target vehicle to be subjected to driving assistance control of a host vehicle includes: a detection signal acquisition device capable of acquiring a first detection signal representing an object by an image, and a second detection signal representing the object by a reflection point; and setting control unit, which determines whether to set a forward object as a target vehicle, wherein if a movement history is not associated with the forward object, and a combination history is associated with the forward object, then as a selection threshold of a first determination parameter for determining whether to set the forward object as the target vehicle, a selection threshold is used such that the forward object is less likely to be selected as the target vehicle than with the selection threshold which would be used if a movement history is associated with the forward object.

Abstract: A map information transmission device includes: a dividing unit configured to divide a region of a map into a plurality of sub regions based on superimposition positions at which a plurality of objects are to be displayed superimposed on the map, the dividing unit performing the division such that a number of objects included in each of the sub regions is a predetermined number or lower; a unit configured to generate, for each of the sub regions, a merged image that includes objects included in a sub region; a unit configured to generate, for each of the sub regions, display code that includes clipping information that designates a clipping region of the merged image that corresponds to the sub region; and a unit configured to transmit the merged image and the display code to a map display device.

Abstract: The disclosure generally relates to autonomous or semi-autonomous driving vehicles. Specifically, an embodiment of the disclosure relates to occupancy detection algorithm to classify groups of individuals having a relationship to each other in certain environments, for example, inside a vehicle. In an exemplary embodiment, the disclosure provides an apparatus to associate one or more vehicles with one or more occupants, the apparatus including: a processing system to categorize data received from a plurality of external communication devices; a detector module configured to identify a first vehicle data and a first device data from categorized data; a proximity detector configured to communicate with the vehicle detector and the device detector; and a correlation engine to receive proximity estimate and to correlate the first device with a first occupant of the first vehicle.

Abstract: Provided is a vehicle stop support system for supporting vehicle stop in an emergency condition. The vehicle stop support system detects a physical abnormality of a driver; sets a target time period based on the detected abnormality; detects a plurality of stop point candidates in a traveling direction of a vehicle; estimates a time period required to reach each of the candidates; a estimates a rear-end collision risk which is a risk that, when assuming that the vehicle stops at each of the candidates, the vehicle will be rear-ended by a following vehicle; and a sets a stop point, wherein the system is operable to set, as the stop point, one of the candidates which satisfies a condition that the required time period estimated with respect thereto is equal to or less than the target time period and which is lowest in terms of the rear-end collision risk.

Abstract: Generally, the present disclosure is directed to systems and methods that include or otherwise leverage a decision point engine as part of determining a motion plan for an autonomous vehicle. In particular, a motion planning system that includes a decision point engine can be configured to obtain object data associated with one or more objects identified near one or more travel paths of an autonomous vehicle. The system can determine a stopping profile based at least in part on the object data, wherein the stopping profile identifies a set of candidate states for the autonomous vehicle that preserves an ability of the autonomous vehicle to stop before the interaction point. The system can determine a decision point corresponding to a selected state from the set of candidate states identified by the stopping profile, and determine a trajectory for the autonomous vehicle based at least in part on the decision point.

Abstract: Zone-based unmanned aerial vehicle landing systems and methods are provided herein. An example method includes establishing a plurality of operational zones, each of the plurality of operational zones being associated with a range of altitudes, guiding an unmanned aerial vehicle (UAV) through each of a plurality of operational zones to land the UAV on a target location using sensors, wherein the sensors are configured to sense a distance between the UAV to the target location, further wherein portions of the sensors are configured for use at different altitudes, and determining an error for the UAV during landing, wherein the UAV retreats to a higher altitude operational zone when the error is determined.

Abstract: A computer includes a processor and a memory, the memory including instructions executable by the processor to identify a diagnostic test to perform for a vehicle component, identify one of a plurality of XiL platforms on which to perform the diagnostic test, and perform the diagnostic test on the identified XiL platforms.

Abstract: Provided herein is a system and method of a vehicle that determines an action of a vehicle. The system comprises one or more sensors; one or more processors; and a memory storing instructions that, when executed by the one or more processors, causes the system to perform determining a location of one or more other vehicles relative to the vehicle; determining an action of the vehicle based on the determined location of one or more other vehicles; sending a signal to the one or more other vehicles indicating the determined action; and performing the determined action of the vehicle.

Abstract: The present driving assistance apparatus assists driving from a vehicle stop state in a predetermined area. The apparatus acquires outside world information from the surroundings of a vehicle, detects a place and position to which the vehicle can move, detects a position of the vehicle, calculates a movement route when the vehicle moves in a predetermined direction by automatic driving from a vehicle stop state in a predetermined area, and determines a safety confirmation position at which the driver can visually confirm a surrounding traveling environment on the movement route. The route is calculated based on the outside world information and the position of vehicle. The driving assistance apparatus reduces a speed of the vehicle to a predetermined speed or less so that the driver can visually confirm the surrounding traveling environment at the safety confirmation position.

Abstract: A driving support ECU 10 determine that a mistaken acceleration operation condition is satisfied when a time from a first time point to a second time point is equal to or shorter than a predetermined threshold time (T2th), while a shift position is at a reverse position (R) for driving the vehicle backward. The first time point is a time point at which the driver does not operate the brake operation member. The second time point is a time point at which an index value corresponding to an acceleration operation amount satisfies a predetermined index value condition to be satisfied when the driver performs a predetermined sudden operation of the acceleration operation member. The driving support ECU make the driving force when the mistaken acceleration operation condition is satisfied smaller than the driving force when the mistaken acceleration operation condition is not satisfied.