Abstract: An apparatus for controlling platooning in a leading vehicle can determine whether a collision between a leading vehicle and an object in front of the leading vehicle will occur based on data measured by one or more sensors; when the collision between the leading vehicle and an object in front of the leading vehicle is determined to occur, determine a possibility of a collision when a following vehicle brakes or a possibility that the following vehicle will change its lane; determine a command associated with a lane change of the following vehicle based on the determined possibility; transmit the command associated with the lane change of the following vehicle and an emergency braking command to the following vehicle via the communication circuit; and release the platooning.

Abstract: A method of characterizing the environment with respect to a host vehicle, said vehicle including one or more systems adapted to detect single objects in the vehicle vicinity; comprising: i) determining the spatial location of a plurality of single objects in the vicinity of said vehicle; ii) grouping a plurality of said single objects based on one or more attributes of each single object into at least one group; iii) subsequently processing said group of objects as a single group object.

Abstract: Techniques for generating trajectories for autonomous vehicles and for predicting trajectories for third-party objects using temporal logic and tree search are described herein. Perception data about an environment can be captured to determine static objects and dynamic objects. For a particular dynamic object, which can represent a third-party vehicle, predictive trajectories can be generated to represent possible trajectories based on available options and rules of the road. Operations can include determining probabilities that a third-party vehicle will execute a predictive trajectory and updating the probabilities over time as motion data is captured. Predictive trajectories can be provided to the autonomous vehicle and commands for the autonomous vehicle can be based on the predictive trajectories.

Abstract: A vehicle periphery information verification device comprises: an obstacle detecting unit configured to detect an obstacle; an arranging unit configured to arrange a travelable region in which a vehicle is travelable and the detected obstacle on a map; an action determining unit configured to determine an action of a host vehicle by using information on the arranged obstacle; a judging unit configured to judge whether the arranged obstacle is arranged in the travelable region; and a prohibiting unit configured to prohibit the action determining unit from determining the action of the host vehicle when the obstacle is determined to be not arranged in the travelable region.

Abstract: A system and method for using human driving patterns to manage speed control for autonomous vehicles are disclosed. A particular embodiment includes: generating data corresponding to desired human driving behaviors; training a human driving model module using a reinforcement learning process and the desired human driving behaviors; receiving a proposed vehicle speed control command; determining if the proposed vehicle speed control command conforms to the desired human driving behaviors by use of the human driving model module; and validating or modifying the proposed vehicle speed control command based on the determination.

Abstract: Systems, apparatuses, and methods for providing roadside assistance services are described herein. The system can include network computing devices and computing devices associated with vehicles and service vehicles. Requests for roadside services can be automatically assigned to an available service provider. Service providers can be ranked based on a variety of criteria and requests can be assigned based on the ranking. The ranking of service providers can be adjusted based on the performance of the service provider. If a service provider takes too long to respond to a request, the request can be automatically declined and an alternative service provider can be selected.

Abstract: Aspects of the disclosure provide a computer-implemented method and system for the assignment of roadside assistance service providers such as tow trucks to distressed vehicles/drivers requiring roadside assistance. The methods and systems may include a roadside assistance service provider system with a collection module, an assignment module, and a feedback module. The collection module collects roadside assistance service provider information and historical statistics from real-world information and stores the information in a database that may then be analyzed using particular rules and formulas. The assignment module assigns particular roadside assistance service providers to particular distressed vehicles/drivers based on one or more characteristics.

Abstract: A network generation system is configured to generate a private computerized network in response to detection by the system of the occurrence of an event. A mobile device application installed on an entity mobile device is configured to receive and transmit event data and GPS-based location data. A network server is configured to receive the event data and the GPS-based location data. A computer server based processing platform is configured to proactively extract resource provider data corresponding to resource providers based upon event data, entity data, event location data, and at least one resource data API. The computerized private network is generated and separate interfaces are generated for the entity, an event processor, and at least one resource provider.

Abstract: An autonomous vehicle including a vehicle propulsion system, a braking system, a steering system, and a computing system that is in communication with the vehicle propulsion system, the brake system, and the steering system. The computing system can receive an indication an account associated with a passenger of the autonomous vehicle for a trip of the autonomous vehicle includes a predefined parent-child link with a second account. The predefined parent-child link indicates the account associated with the passenger is subordinate to the second account and a parent-child relationship exists between the passenger and a person associated with the second account. Responsive to receiving the indication of the parent-child link and the passenger being the child in the parent-child relationship, the computing system can control the autonomous vehicle to enable a linked account feature that would otherwise be disabled.

Abstract: A control system for a work vehicle includes a course data generation unit that generates a traveling condition including a traveling route of the work vehicle in a workplace, a service area setting unit that sets a service area which is an area where the work vehicle is serviceable, a passage area setting unit that sets a passage area having a predetermined width along the traveling route generated by the course data generation unit, and an update data generation unit that generates update data for service area data obtained by expanding the service area when the passage area is present on an outer side of the service area.

Abstract: A system and method includes an autonomous agent having a communication interface that enables the autonomous agent to communicate with a plurality of infrastructure sensing devices; a plurality of distinct health monitors that monitor distinct operational aspects of the autonomous agent; an autonomous state machine that computes a plurality of allowed operating states of the autonomous agent based on inputs from the plurality of distinct health monitors; a plurality of distinct autonomous controllers that generate a plurality of distinct autonomous control instructions; and an arbiter of autonomous control instructions that: collects, as a first input, the plurality of autonomous control instructions generated by each of the plurality of distinct autonomous controllers; collects, as a second input, data relating to the plurality of allowed operating state of the autonomous agent; and selectively enables only a subset of the autonomous control instructions to pass to driving components of the autonomous agent

Abstract: A portable interface, comprising a wireless transceiver configured to emit a short-range wireless signal including an encrypted packet configured to prompt authorized autonomous vehicles to respond to the packet with identification and location data of the vehicles. The portable interface further includes a processor configured to cause the transceiver to emit the signal, and in response to receiving the identification and location data, prompt a notification to be output to a shortest-distance vehicle.

Abstract: A vehicle adjusts a distance between a subject vehicle and a front vehicle according to a height of the front vehicle. The vehicle includes a distance sensor, and a processor which determines data of the front vehicle among data obtained by the distance sensor, and maintains a distance to the front vehicle equal to or more than a predetermined distance when a longitudinal dispersion value of the determined data is a predetermined reference value or more.

Abstract: A navigation control system for an autonomous vehicle comprises a transmitter and an autonomous vehicle. The transmitter comprises an emitter for emitting at least one signal, a power source for powering the emitter, a device for capturing wireless energy to charge the power source, and a printed circuit board for converting the captured wireless energy to a form for charging the power source. The autonomous vehicle operates within a working area and comprises a receiver for detecting the at least one signal emitted by the emitter, and a processor for determining a relative location of the autonomous vehicle within the working area based on the signal emitted by the emitter.

Abstract: A system, an apparatus or a process may be configured to implement an application that applies artificial intelligence and/or machine-learning techniques to predict an optimal course of action (or a subset of courses of action) for an autonomous vehicle system (e.g., one or more of a planner of an autonomous vehicle, a simulator, or a teleoperator) to undertake based on suboptimal autonomous vehicle performance and/or changes in detected sensor data (e.g., new buildings, landmarks, potholes, etc.). The application may determine a subset of trajectories based on a number of decisions and interactions when resolving an anomaly due to an event or condition. The application may use aggregated sensor data from multiple autonomous vehicles to assist in identifying events or conditions that might affect travel (e.g., using semantic scene classification). An optimal subset of trajectories may be formed based on recommendations responsive to semantic changes (e.g., road construction).

Abstract: Systems and methods for situational modification of autonomous vehicle operation are disclosed. According to aspects, a computing device may detect the occurrence of an emergency event and may determine a current operation of an autonomous vehicle that may be associated with the emergency event. The computing device may determine a modification to operation of the autonomous vehicle, where the modification may represent a violation of a roadway regulation that may enable effective handling of the emergency event. The computing device may generate a set of instructions for the autonomous vehicle to execute to cause the autonomous vehicle to undertake the operation modification.

Abstract: Example methods and systems may transport an object with a plurality of transport vehicles. An example transport vehicle may be autonomous, and may have one or more wheels extending from a body for engaging a ground surface. Example methods may include providing a destination for the object to the plurality of transport vehicles, wherein the plurality of transport vehicles determines a route to the destination, dividing the route into one or more route segments for the plurality of transport vehicles, encountering an obstacle with a first one of the transport vehicles while traveling along one of the route segments, and sending a location of the obstacle from the first transport vehicles to at least a second one of the transport vehicles. A second one of the transport vehicles may modify at least one of the route segments to avoid the obstacle based upon the provided location.

Abstract: A method and device determines an optimization solution for an optimization problem. The method includes receiving the optimization problem having cost functions and variables in which each of the cost functions has a predetermined relationship with select ones of the variables. The variables comprise a sub-solution of a spline indicative of a curved path along an estimated trajectory. The method includes generating a first message for each of the cost functions for each corresponding variable based upon the relationship and a second message for each of the variables for each corresponding cost function based upon the relationship. The method includes generating a disagreement variable for each corresponding pair of variables and cost functions measuring a disagreement value between the first and second beliefs. The method includes forming a consensus between the first and second messages until the optimization solution is determined.

Abstract: A control system includes an airborne flight control system and a smart terminal; the airborne flight control system is configured to acquire a first position information, and send the first position information to the smart terminal; the smart terminal is configured to acquire a second position information, and obtain a yaw angle and at least one of a horizontal flight speed and a vertical flight speed according to the second position information and the first position information sent by the airborne flight control system, and send the yaw angle and at least one of the horizontal flight speed and the vertical flight speed to the airborne flight control system, wherein the first position information is the position information of an aircraft where the airborne flight control system is located, and the second position information is the position information of the smart terminal.

Abstract: A serial attached small computer system interface system improves shared device firmware version consistency. The system includes servers connected to one of a plurality of controllers, and an expander connected to each of the controllers. A shared device connected to the expander receives a command from a server to be executed at the shared device, and transmits a first broadcast asynchronous event to the expander. The shared device is a serial attached small computer system interface target, and the first broadcast asynchronous event identifies a configuration change in the serial attached small computer system interface target. The expander, in response to receiving the first broadcast asynchronous event, transmits a second broadcast asynchronous event to the controllers.

Abstract: A method and device are provided to monitor a wireless link state for an electric-powered vehicle, and comparing the wireless link state with a wireless-link trigger condition. When the wireless link state compares favorably with the wireless-link trigger condition, a thick-client application request may be transmitted based on the wireless-link trigger condition. A thick-client application load is received in response, and the thin-client application is transitioned to a thick-client application.

Abstract: Techniques are described for determining locations of interest based on user visits. In some situations, the techniques include obtaining information about actual locations of users at various times, and automatically analyzing the information to determine particular locations in a geographic area that are of interest, such as for frequent destinations visited by users. After determining a particular location of interest, it may be represented by generating a corresponding location model to describe the geographic subarea or other location point(s) covered by the determined location of interest, and one or more points of interest (e.g., businesses, parks, schools, landmarks, etc.) may be identified that are located at or otherwise correspond to the determined location of interest. In addition, a determined location of interest may be further used in various ways, including to identify later user visits to that location (e.g., to a point of interest identified for the location).

Abstract: A module for providing security to an in-vehicle communication network having a bus and at least one node connected to the bus, the module comprising: a memory having software comprising data characterizing messages that the at least one node transmits to and/or receives via the bus; a communication port via which the module receives and transmits messages configured to be connected to a portion of the in-vehicle network; and a processor that is operable to: processes messages received via the port responsive to the software in the memory to control passage of messages through an on-board diagnostics (OBD) port between the in-vehicle network and an entity external to the vehicle.

Abstract: Described are apparatus and method for estimating a position of a vehicle, and a vehicle using the same. A vehicle location estimation apparatus includes a vehicle sensor configured to detect a vehicle, a communication unit configured to receive traveling information of a further vehicle from the further vehicle, and a controller configured to detect a position of the vehicle and a traveling trajectory of the further vehicle based on information of vehicles detected by the vehicle sensor and traveling information of the further vehicle transmitted from the further vehicle, and to predict a traveling route of the further vehicle, to match the predicted traveling route of the further vehicle with an expected traveling route on a map, thereby correcting the position of the vehicle.

Abstract: A method for communicating between an operating point, which externally controls an automatically driving vehicle, and a further road user. The method includes identifying the further road user and setting up a communication connection between the operating point and the further road user.

Abstract: A system and method of enabling or disabling vehicle features based on vehicle location, wherein the method includes: receiving a localized geographical vehicle feature map at the vehicle from a remote server, wherein the localized geographical vehicle feature map includes geographical vehicle feature map data, wherein the geographical vehicle feature map data includes geographical regions associated with vehicle feature data that indicates whether one or more vehicle features are enabled and/or disabled; monitoring vehicle location; based on the monitoring of the vehicle location, determining that the vehicle is located within or approaching a particular geographical region of the geographical regions included in the localized geographical vehicle feature map; determining at least one vehicle feature associated with the particular geographical region based on accessing the localized geographical vehicle feature map; and enabling and/or disabling the at least one vehicle feature based on information contained

Abstract: The present disclosure relates to a vehicle control device provided in a vehicle and a method for controlling the vehicle. A vehicle control device provided in a vehicle according to the present disclosure, as a vehicle control device for controlling the vehicle, may include a communication unit configured to receive a map having a plurality of layers from a server; and a processor configured to generate a control signal for driving the vehicle using the map, wherein a control region that is a reference for the generation of the control signal around a location of the vehicle is defined differently according to a preset reference.

Abstract: A vehicle includes an autonomous driving system that can determine whether an interruption of autonomous driving control is required. The autonomous driving system can determine that interruption is required based on an evaluation value dependent upon a target position and a control position, and an evaluation value threshold. The vehicle further includes communication systems that provide interruption information on the autonomous driving control to an occupant of the vehicle and to other vehicles around the vehicle if it is determined that the interruption of the autonomous driving control is required.

Abstract: The present disclosure provides systems and methods to test an autonomous vehicle. In particular, the systems and methods of the present disclosure can receive, from one or more test nodes of a preconfigured test track, log data indicating positions of elements of the test track over a period of time. Log data indicating parameters of an autonomous vehicle over the period of time can be received from the autonomous vehicle. The log data indicating the positions of the elements of the test track over the period of time can be compared with the log data indicating the parameters of the autonomous vehicle over the period of time to determine a performance metric of the autonomous vehicle on the test track over the period of time.

Abstract: A control system for controlling an earthmoving machine operating at a worksite is disclosed. The control system includes a receiving unit to receive a first input indicative of a terrain profile of the worksite, a second input indicative of a target terrain profile for the worksite, and a third input indicative of machine characteristics. The control system also includes a mission planning controller to generate an excavation plan based on the first input, the second input, and the third input. The controller controls operation of the machine, based on the generated excavation plan, to obtain an excavated terrain profile. Further, the controller determines whether the excavated terrain profile matches with the target terrain profile, and operates the machine based on inputs indicative of the excavated terrain profile, the second input, the third input, and an extent of match between the excavated terrain profile and the target terrain profile.

Abstract: Systems, methods, and vehicles for stopping the motion of a vehicle are provided. In one example embodiment, a method obtaining, by one or more computing devices on-board an autonomous vehicle, data indicative of one or more parameters associated with the autonomous vehicle. The method includes determining an existence of a fault associated with the autonomous vehicle based at least in part on the one or more parameters associated with the autonomous vehicle. The method includes determining one or more actions to be performed by the autonomous vehicle based at least in part on the existence of the fault. At least one of the actions includes stopping a motion of the autonomous vehicle. The method includes providing one or more control command signals to one or more of the systems on-board the autonomous vehicle to facilitate stopping the motion of the autonomous vehicle in response to the existence of the fault.

Abstract: The present invention extends to methods, systems, devices, and apparatus for failover navigation for remotely operated aerial vehicles. During flight, a primary guidance system uses a higher resolution map for an area to guide a remotely operated aerial vehicle around obstacles (e.g., buildings) in the area. Failure of the primary guidance system is detected during flight. The remotely operated aerial vehicle switches over to a secondary guidance system in response to detecting the failure. The secondary guidance system formulates a flight path to a safer location based on a lower resolution map of the area. The formulated flight path minimizes crossings between different boundaries represented in the lower resolution map. The formulated flight path is biased towards safety over efficiency.

Abstract: An integrated automated robotic test system for automated driving systems is disclosed, which is operable to provide an automated testing system for coordinated robotic control of automobiles equipped with automation functions (i.e., test vehicles) and unmanned target robots with which test vehicles may safely collide. The system may include a system for controlling a vehicle that includes a brake actuator, a throttle actuator, and a steering actuator. The brake actuator is controlled by a brake motor and configured to press and release a brake pedal of the vehicle. The throttle actuator is controlled by a throttle motor and configured to press and release a gas pedal of the vehicle. The steering actuator is configured to control a steering wheel of the vehicle. The steering actuator includes a steering motor configured to attach to the steering wheel and a reaction stand configured to support the steering motor.

Abstract: An in-vehicle communication network comprising: a bus and at least one node connected to the bus; an in-vehicle network operating system (OS) that manages OS processes, a secondary memory in which process codes for the processes are stored, and a primary memory, into which the OS loads a copy of a process code of a process to enable a processor to run the process and execute the process code; and a module hosted in the OS and having a hook in at least one position of the OS that provides information to the module responsive to operation of the OS that the module processes in accordance with executable instructions that the module comprises to determine if the in-vehicle OS is operating properly.

Abstract: A management system, includes: a first detection unit configured to detect position information of a first haul machine configured to travel along a haul road that leads to a loading area of a mine; a second detection unit configured to detect position information of a second haul machine configured to travel along the haul road; and a processing device configured to receive a detection result from each of the first detection unit and the second detection unit, wherein the processing device is configured to determine that the second haul machine arrives at an entrance of the loading area when the second haul machine arrives at a position behind the first haul machine that is in a standby state at the entrance based on the detection results.

Abstract: Technical solutions are described for generating a pedestrian detection warning in a vehicle. An example method includes constructing, by a vehicle controller, a pedestrian zone based on pedestrian information that is received from a traffic controller. The method further includes computing, by the vehicle controller, a vehicle trajectory that predicts a path for the vehicle. The method further includes determining, by the vehicle controller, a minimal distance between the pedestrian zone and the vehicle trajectory. The method further includes predicting, by the vehicle controller, a time to collision by computing a time for the vehicle to reach a location corresponding to the minimal distance along the vehicle trajectory. The method further includes in response to the time to collision being below a threshold, generating, by the vehicle controller, a warning for an operator of the vehicle.

Abstract: A server device may communicate with a user device by engaging in a telephone call with the user device, by providing a webpage to the user device, or in another way. The user device may communicate a request to the server device for a particular web service, such as a mapping service, a banking service, technical support, customer service, etc., and the server device may communicate the request to an instant access device that may cause the user device to instantly access the web service, whether by automatically downloading and installing a mobile application with the web service or by automatically accessing a web page. In some implementations, the instant access device may authenticate the user device in order to provide the user device with access to the web server.

Abstract: A drone identifies situational context (based on signals from at least one sensor) and selects an action in response to the situational context, based on a personality of the drone. The drone then communicates its personality to other drones within a swarm of drones, the drone being a member of the swarm of drones.

Abstract: An unloading conveyor swing control system including an unloading conveyor fitted to a self-propelled harvesting machine such as a combine harvester. The conveyor is moveable around a pivot axis through a movement range between a first, stowed, position and a second position. An actuator is connected to the conveyor and arranged to move the conveyor throughout the movement range. A sensor is configured to sense an angular position of the conveyor within the movement range and generate a representative position signal. A user interface device is provided for receiving user-commands to move the conveyor. A controller is in communication with the sensor, the actuator and the user interface device. The conveyor is automatically moved into the stowed position in response to an angular position falling below a predetermined threshold angle.

Abstract: This invention discloses a UAV inspection method for power line based on human visual system. Image preprocessing module preprocesses the power line image of the input system. Power line detection module uses human visual attention mechanism to complete segmentation of the power line in the image. Binocular image registration module uses SURF algorithm to provide exact match of the feature points. The obstacle detection and early warning module uses binocular visual principle to calculate the three-dimensional coordinates of the matching point and the power line. The result output and feedback module calculates the vertical distance from the matching point to the power line according to the information about the space coordinates to complete feedback of the information about the obstacle with a threat to the power line. The method can accurately analyze the obstacle of power line in a quantitative manner, and the analysis result is stable and objective.

Abstract: One variation of a method for communicating state, intent, and context of an autonomous vehicle includes: at a first time, displaying a first icon representing a current state of a vehicle on a rear-facing visual display arranged on the vehicle; navigating toward an intersection; at a second time, detecting a state of the intersection ahead of the vehicle; rendering a second icon representing the state of the intersection at the second time on the rear-facing visual display; detecting a change in the state of the intersection at a third time succeeding the second time; selecting a next navigation action for the vehicle responsive to the change in the state of the intersection at the third time; prior to executing the next navigation action, rendering a third icon representing the next navigation action on the rear-facing visual display; and autonomously executing the next navigation action.

Abstract: Aspects of the disclosure relate to providing audible indications to objects located externally to a vehicle having an autonomous driving mode. For instance, a vehicle is controlled in the autonomous driving mode along a particular path. Information identifying a characteristic and a location of an object is received. When vehicle is determined to be prevented from proceeding along the particular path because of the location of the object, a scenario is identified using the characteristic. The scenario is associated with a predetermined period of time and a type of audible indication used to identify an audible indication. After the waiting the predetermined period, when the object is determined to still be preventing the vehicle from proceeding along the particular path, the audible indication is played through a speaker of the vehicle to encourage the object to take an action to allow the vehicle to proceed along the particular path.

Abstract: In one embodiment, a method comprising wirelessly receiving a signal comprising information about a deviation to a first wayline; and applying the deviation to a second wayline.

Abstract: A method causes a self-driving vehicle (SDV) to warn passengers of an upcoming maneuver, and to explain why the SDV will be making the upcoming maneuver. One or more processors receive sensor readings that describe a condition of a roadway upon which a self-driving vehicle (SDV) is traveling, where the sensor readings are from roadway sensors that detect water on the roadway. The processor(s) reroute the SDV due to the water on the roadway, and provide an explanation to an occupant of the SDV that describes the water on the roadway as a reason for rerouting the SDV.

Abstract: In one embodiment, device addition to an expandable multimedia control system is performed without creating or modifying source code. A configuration bundle is stored on a first device of the expandable multimedia control system, the configuration bundle including a list of unique identifiers (UIDs) representing devices that are eligible to become a part of the expandable multimedia control system. The first device monitors a local area network (LAN), and determines a UID of a second device. The first device compares the UID of the second device with the list of UIDs in the configuration bundle. In response to a match of the UID of the second device with a UID of the list of UIDs in the configuration bundle, the second device is added to the expandable multimedia control system, and at least a portion of the configuration bundle is shared with it.

Abstract: The instant disclosure provides an ability to use an array of data inputs to enter a network and thereby provide a realtime improvable database. The present invention is novel in its ability to maximize the customer's interface with a pest control system, thus allowing for maximum efficiency for current and future designs as well as a high level of compatibility with ancillary regulatory, financial and planning type functions.

Abstract: An example method includes receiving instructions to pick up an object with one or more lift elements of an autonomous vehicle. Based on a current positioning of the vehicle, the method further includes identifying the object to be picked up and a particular side of the object under which to place the one or more lift elements of the vehicle. The method additionally includes determining an approach path toward the object for the vehicle to follow to place the lift elements of the vehicle under the particular side of the object. The method further includes causing the vehicle to move along the determined approach path toward the object. The method additionally includes determining that the lift elements of the vehicle are placed under the particular side of the object. The method also includes causing the vehicle to lift the object with the lift elements.

Abstract: A system, an apparatus or a process may be configured to implement an application that applies artificial intelligence and/or machine-learning techniques to predict an optimal course of action (or a subset of courses of action) for an autonomous vehicle system (e.g., one or more of a planner of an autonomous vehicle, a simulator, or a teleoperator) to undertake based on suboptimal autonomous vehicle performance and/or changes in detected sensor data (e.g., new buildings, landmarks, potholes, etc.). The application may determine a subset of trajectories based on a number of decisions and interactions when resolving an anomaly due to an event or condition. The application may use aggregated sensor data from multiple autonomous vehicles to assist in identifying events or conditions that might affect travel (e.g., using semantic scene classification). An optimal subset of trajectories may be formed based on recommendations responsive to semantic changes (e.g., road construction).

Abstract: An unmanned aerial vehicle (UAV) is disclosed. The UAV comprises a battery, a flight mechanism, a radio frequency (RF) transceiver, a processor, a memory, and an application stored in the memory. When executed by the processor, the application discovers an environment where the UAV operates by flying in the environment to determine its boundaries; creates a map of the environment that the UAV flew through; and shares the map with a social robot. The application receives a command from the social robot via the RF transceiver, wherein the social robot receives a verbal request from a user of the social robot, wherein the social robot transforms the user request to a command for the UAV. The application then performs the command from the social robot. The application then lands on a designated charging pad to conserve energy. The application then transmits a report back to the social robot.

Abstract: In a driving support device, an image output unit outputs an image including a host vehicle object representing a host vehicle and a nearby vehicle object representing a nearby vehicle, to a display unit. The operation signal input unit receives an operation of a user for changing a distance between the host vehicle object and the nearby vehicle object in the image displayed on the display unit. The command output unit outputs a command for instructing one vehicle to travel following another vehicle when the distance between the host vehicle object and the nearby vehicle object is equal to or less than a predetermined distance, to an automatic driving control unit that controls automatic driving.