Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for managing energy use in a vehicle. For instance, the method may include receiving forecasted data from a first external source, receiving real-time data corresponding to at least one weather parameter at a first location at a first time, and continuously determining whether to perform an adjustment to a control parameter of the vehicle by using a machine learning model that is based on the forecasted data for the at least one weather parameter, the real-time data for the at least one weather parameter, a battery condition of the vehicle, and/or an estimated amount of energy consumed by traveling along a first navigation path.

Abstract: Systems and methods are provided for suggesting a charging station for an electric vehicle. A partial range of the electric vehicle corresponding to a predetermined percentage of the current state of charge of a battery of the electric vehicle is determined. A location corresponding to the partial range, along a route to a destination, is determined and used to select a suggested charging station based on the location corresponding to the partial range. The suggested charging station is generated for presentation at a display.

Abstract: Exemplary embodiments provide a transportation staffing management system. An amount of transportations miles are forecasted for delivering inventory from a distribution enter to a store based on a sales forecast for a store. Non-driving time for drivers engaged in delivering inventory to a store is tracked based on data collected in real-time from mobile computing devices associated with delivery vehicles. An amount of time needed to deliver the inventory based on the forecasted amount of transportation miles and non-driving is calculated. An optimal transportation workload is generated for the distribution center based on the amount of time, data from a first database storing data from a central office, and data from a second database storing data from a distribution center.

Abstract: Temperature probe systems and methods include a probe body having a sharp end adapted to penetrate an edible substance, a plurality of temperature sensing elements distributed along a length of the probe body, electrical components operable to receive data signals from the plurality of temperature sensing elements, the electrical components disposed in the probe body between the sharp end and at least one of the temperature sensing elements, and an insertion aid. The electrical components may include wireless components to facilitate communications with a host cooking appliance, and the temperature sensing elements may be used to measure temperature and communicate the temperature measurements via the wireless components to the host cooking appliance. The insertion aid, the probe body, and the temperature sensing elements may include one or more heat resistant materials.

Abstract: Signals usable to determine a path of a vehicle towards a particular stopping point in a vicinity of a destination are detected from an individual authorized to provide guidance with respect to movements of the vehicle. Based at least in part on the signals and a data set pertaining to the external environment of the vehicle, one or more vehicular movements to be implemented to proceed along the path are identified. A directive is transmitted to a motion control subsystem of the vehicle to initiate one of the vehicular movements.

Abstract: A method is described and includes receiving an indication that a collision between a vehicle and an object is predicted; processing first sensor data obtained from a first onboard sensor of the vehicle to determine whether an actual occurrence of the predicted collision can be confirmed from the first sensor data and if not, processing second sensor data obtained from a second onboard sensor of the vehicle to determine whether the actual occurrence of the predicted collision can be confirmed from the second sensor data. If the actual occurrence of the predicted collision is confirmed from one of the first sensor data and the second sensor data, determining a severity of the collision based on the indication and the one of the first sensor data and the second sensor data; and prompting an action to be based on the determined severity of the collision.

Abstract: The present disclosure generally relates to a computer implemented method for operating a vehicle (104, 106, 108), specifically in relation to efficient transporting of a predefined cargo. The present disclosure also relates to a corresponding arrangement and computer program product.

Abstract: The present disclosure discloses a laser detection method for port machinery equipment including: providing with a laser radar device: selecting a suitable laser radar device and installing on the port machinery, ensuring that an installation position and angle of the device can provide a good detection range and field of view; emitting and receiving laser: emitting a laser beam and receiving reflected light signals by the laser radar device, emitting a pulsed laser beam by the laser radar device, forming a narrow beam of laser by focusing with an optical component. The laser detection method uses a Velodyne® VLP-32C infrared laser, which has high resolution and a large number of detection points, can provide high-precision laser data to more accurately describe a port environment and target objects. Through a PointNet++deep learning mode, global perception and analysis of laser data can be carried out to obtain target object information.

Abstract: Presented are intelligent vehicle systems for thermal event mitigation during vehicle towing, methods for making/using such systems, and vehicles equipped with such intelligent control systems. A method of operating a host vehicle includes a resident or remote vehicle controller verifying the host vehicle is an incapacitated state. Responsive to the incapacitation of the host vehicle, the controller detects the host vehicle being towed by a tow vehicle and identifies a wireless-enabled portable computing device (PCD) within a predefined range of the host vehicle. Responsive to the host vehicle being towed, the controller determines if the wireless-enabled PCD is on the tow vehicle while towing the host vehicle. Upon detection of a thermal event in at least one battery cell in the host vehicle's battery system while the host vehicle is being towed, the controller responsively commands a resident vehicle subsystem to execute a control operation to mitigate the thermal event.

Abstract: According to various embodiments, an electronic device may include a communication circuit, an acceleration sensor, and at least one processor, and the at least one processor may be configured to identify a first movement speed of the electronic device by using the communication circuit, identify a step frequency of a user by using the acceleration sensor, identify a movement type of the user based on the identified step frequency, and output a movement speed of the electronic device by calibrating the first movement speed based on the identified movement type.

Abstract: Systems and methods for drone air traffic control method include, in an air traffic control system configured to manage Unmanned Aerial Vehicle (UAV) flight in a geographic region, communicating to one or more UAVs via one or more wireless networks, wherein the one or more UAVs are configured to maintain their flight in the geographic region based on coverage of or connectivity to the one or more wireless networks; obtaining input related to a plurality of flying lanes in the geographic region and weather conditions in the geographic region; determining the plurality of flying lanes based on the input and weather conditions; and routing the one or more UAVs in the determined plurality of flying lanes considering air traffic, congestion, and obstructions.

Abstract: The invention relates to a method for optimising a flight plan consisting of an air route for an aircraft of a fleet of aircraft, each aircraft being designed to record flight data, the method comprising a preliminary step of learning a network of air routes specific to the fleet of aircraft, the method comprising a step of determining a fuel consumption model specific to the aircraft based on the flight data, the method comprising the subsequent steps of: —collecting meteorological data associated with the aircraft environment, and —determining an optimised flight plan for reaching the destination waypoint, based on a current position of the aircraft, the flight conditions of the aircraft, the predefined air route, the consumption model of the aircraft, the meteorological conditions and the previously defined optimal air routes.

Abstract: An example method comprises receiving data points, determining at least one size of a plurality of subsets based on a constraint of at least one computation device or an analysis server, transferring each of the subsets to different computation devices, each computation device selecting a group of data points to generate a first sub-subset of landmarks, add non-landmark data points that have the farthest distance to the closest landmark to create an expanded sub-subset of landmarks, create an analysis landmark set based on a combination of expanded sub-subsets of expanded landmarks from different computation devices, perform a similarity function on the analysis landmark set, generate a cover of the mathematical reference space to create overlapping subsets, cluster the mapped landmark points based on the overlapping subsets, create a plurality of nodes, each node being based on the clustering, each landmark point being a member of at least one node.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, perform: determining one or more work orders for a service provider; determining an optimal service route for the one or more work orders; updating an available time slot in a work schedule of the service provider; and transmitting the work schedule updated with the optimal service route to be displayed on a user interface executed on a device of the service provider. Other embodiments are also provided.

Abstract: A vehicle system includes: a controller configured to communicate with a map server; and a vehicle position acquiring device configured to acquire own vehicle position information. The controller includes: a vehicle position determining unit configured to determine a lane in which an own vehicle is traveling based on the own vehicle position information; and a recommended lane determining unit configured to determine a recommended lane. The recommended lane determining unit is configured to set a priority of each lane based on map information, determine the lane having a highest priority as the recommended lane, calculate a congestion degree of each lane based on traffic state information and/or a statistic, and adjust a switching point of the recommended lane according to the congestion degree of the lane to be switched to the recommended lane.

Abstract: Disclosed are a parking control apparatus for a vehicle and a method thereof. The parking control apparatus includes a processor that searches for at least one parking space in a parking control of a vehicle, calculates an estimated route and a required parking time for each of the at least one parking space, and performs parking control into a target parking space which is one parking space selected from the at least one parking space by a user, and a display that displays the estimated route and the required parking time for each of the at least one parking space.

Abstract: Systems and methods of the present invention are provided to generate a plurality of flight trajectories that do not conflict with other aircraft in a local area. Interventions by an air traffic control system help prevent collisions between aircraft, but these interventions can also cause an aircraft to substantially deviate from the pilot's intended flight trajectory, which burns fuels, wastes time, etc. Systems and methods of the present invention can assign a standard avoidance interval to other aircraft in the area such that a pilot's aircraft does not receive an intervention by an air traffic control system. Systems and methods of the present invention also generate a plurality of conflict-free flight trajectories such that a pilot or an automated system may select the most desirable flight trajectory for fuel efficiency, speed, and other operational considerations, etc.

Abstract: A method for providing a driving guideline in a moving object may include: triggering a driving guideline provision instruction in the moving object; based on the implemented triggering, generating, by the moving object, a driving guideline; outputting the generated driving guideline; and driving, by the moving object, based on the driving guideline.

Abstract: An embodiment pallet stacking apparatus includes a lidar installed in an unmanned forklift and configured to radiate laser light and convert range data reflected from a first cup-feet pallet to 3D point cloud data, a bird's eye view (BEV) conversion unit configured to convert the 3D point cloud data to a 2D BEV image, a cup recognition unit configured to perform channel normalization with input data of the 2D BEV image and recognize a cup position through calculation using convolutional neural network, a forklift controller configured to control operation of the unmanned forklift according to a control signal, and a control unit configured to identify a difference between a cup position of the first cup-feet pallet and a cup position of a stationary second cup-feet pallet and apply a control signal for adjustment to a matching position to the forklift controller.

Abstract: Disclosed are a parking control apparatus for a vehicle and a method thereof. The parking control apparatus includes a processor that searches for at least one parking space in a parking control of a vehicle, calculates an estimated route and a required parking time for each of the at least one parking space, and performs parking control into a target parking space which is one parking space selected from the at least one parking space by a user, and a display that displays the estimated route and the required parking time for each of the at least one parking space.

Abstract: The present disclosure is directed to interactive voice navigation. In particular, a computing system can provide audio information including one or more navigation instructions to a user via a computing system associated with the user. The computing system can activate an audio sensor associated with the computing system. The computing system can collect, using the audio sensor, audio data associated with the user. The computing system can determine, based on the audio data, whether the audio data is associated with one or more navigation instructions. The computing system can, in accordance with a determination that the audio data is associated with one or more navigation instructions, determine a context-appropriate audio response. The computing system can provide the context-appropriate audio response to the user.

Abstract: Examples disclosed herein relate to an autonomous driving system in a vehicle having a radar system with a Non-Line-of-Sight (“NLOS”) correction module to correct for NLOS reflections prior to the radar system identifying targets in a path and a surrounding environment of the vehicle, and a sensor fusion module to receive information from the radar system on the identified targets and compare the information received from the radar system to information received from at least one sensor in the vehicle.

Abstract: A system for crowdsourcing reporting of road conditions from abnormal vehicle events. Abnormal vehicle events (such as sudden braking, sharp turns, evasive actions, pothole impact, etc.) can be detected and reported to a road condition monitoring system (RCMS). The RCMS can identify patterns in reported road conditions to generate advisory information or instructions for vehicles and users of vehicles. For example, suspected obstacles can be identified and used to instruct a driver or a vehicle to slow down gradually to avoid sudden braking and sharp turns. In some examples, a vehicle can have a camera that can upload an image of a suspected obstacle (e.g., a pothole) to allow the positive identification of a road problem. This provides the RCMS with more confidence to take a corrective action, such as an automated call to a road repair service.

Abstract: The invention is related to pairing a customer with the best service provider upon a selection from the customer in on-demand transportation service. A platform in the invention provides a graphical representation of the electronic interface displaying sets of indicators that reflect transportation service relevant data corresponding to each of the available service providers and containing two or more identifications through at least a Global Positioning System (GPS) receiver. The display is corresponding to the one or more inputs provided by the customer to the two or more search parameters including a maximum number of available service providers and at least one of the following groups comprising the one or more available service providers within a time span or a distance span for arrival to a pick-up location of the customer. The sets of indicators corresponding to each of the available service providers that match the preset preferences.

Abstract: Systems and methods are disclosed for improved mapping data validation using randomness measures. Methods may include receiving a map dataset that includes a plurality of map features. A knowledge graph may be generated based on the map dataset that may include nodes representing or corresponding to the map features. Nodes corresponding to map features of a particular feature type may be identified and edges connected to the identified nodes may be processed to identify a plurality of paths. A randomness measure for the particular feature type may be determined based on the plurality of paths. The randomness measure may indicate a predictability of occurrences of map features of the particular feature type in the map dataset. The randomness measure may then be compared to a second randomness measure determined based on another map dataset.

Abstract: A device may include one or more processors configured to receive sensor data from an external sensor associated with an autonomous driving zone; generate a map of the autonomous driving zone based on the sensor data; determine that a vehicle is entering the autonomous driving zone; and transmit a signal to the vehicle based on the vehicle entering the autonomous driving zone. The signal may cause the vehicle to begin operating in a full autonomous mode. The one or more processors may be configured further to determine an objective associated with the vehicle; receive first data obtained by one or more first sensors associated with the vehicle and second data obtained by the external sensor; determine a route based on the objective, the first data, and the second data; and transmit information identifying the route to the vehicle. The route may allow the vehicle to satisfy the objective.

Abstract: A vehicle rescue device includes a communication unit that is communicable with an onboard communication device or a terminal device of a user of each of a plurality of electric vehicles; a receiving unit configured to store, in a storage unit, vehicle notification information received by the communication unit; a determination unit configured to determine, based on the vehicle notification information of an electric vehicle that has requested an electric power supply and the vehicle notification information of an electric vehicle that has accepted a rescue request, whether or not the electric vehicle that has accepted the rescue request can be dispatched to the electric vehicle that has requested the electric power supply; and a management unit configured to direct the electric vehicle that has accepted the rescue request to a location where electric power supply to the electric vehicle that has requested the electric power supply can be performed.

Abstract: Disclosed are systems and methods for predicting the destination location of a vehicle by processing a local preference graph of a user of the vehicle having nodes corresponding to locations visited by the user. In some embodiments, information about locations which have been visited one after another by users and the time between visits of the locations are also used in the prediction.

Abstract: Platooning vehicles can result in operational cost savings. Disclosed is a method of apportioning costs that are incurred/saved as a result of platooning vehicles, as well as assigning penalties for unfair platoon participation. For example, platooning history of a vehicle can be tracked, and if that vehicle acts too often as a trailing vehicle in a series of platoons then a penalty might be assigned to that vehicle. Also disclosed is a technique for operating a platoon in the presence of external factors such as municipal regulations, merging traffic, emergency vehicles, etc.

Abstract: Aspects of the disclosure relate to conducting pullover maneuvers for autonomous vehicles. For instance, a pullover location may be identified. A pullover start location may be determined for the pullover location. A first distance for the vehicle to come to a complete stop within a pullover deceleration limit may be determined based on a current speed of the vehicle. A second distance between a current location of the vehicle and the pullover start location may be determined. The first distance may be compared to the second distance to assess feasibility of the pullover location. The vehicle may be controlled in order to conduct a pullover maneuver in an autonomous driving mode.

Abstract: Systems, methods, computing platforms, and storage media for directing and controlling an autonomous inventory management system are disclosed. Exemplary implementations may place an inventory item in an autonomous storage unit, direct the autonomous storage unit to depart a starting location, direct the autonomous storage unit to board a first transport system departing for a first arrival location, determine whether an event will delay or expedite the arrival of the autonomous storage unit at the first arrival location, determine alternative routing options for the autonomous storage unit to continue travel to the first arrival location, recalculate the route of the autonomous storage unit to the first arrival location, and select a new route to the first arrival location.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: receiving request data from a first mobile UE device, the request data requesting installation of an instance of a client software installation package on the first mobile UE device; and responsively to the request data from the first mobile UE device, deploying a first instance of the client software installation package to the first mobile UE device for installation on the first mobile UE device, wherein the client software installation package is configured so that when the client software installation package is installed on a respective mobile client, the respective mobile client is operative for counting of crossings of the respective mobile client with one or more neighboring mobile client during performance of a trip.

Abstract: Provided is a travel evaluation method of making an evaluation related to travel of a vehicle capable of traveling in a leaning position, the method including: obtaining a tire force which is an external force exerted on a wheel of the vehicle from a ground surface; and deriving an evaluation index related to travel of the vehicle. The evaluation index includes a positive evaluation index as a rating of a positive evaluation related to travel of the vehicle. In deriving the evaluation index, the positive evaluation index is set higher as the tire force increases, and the evaluation index is corrected based on an influential parameter other than the tire force.

Abstract: A system providing a multi-persona social agent includes a computing platform having a hardware processor, a system memory storing a software code, and multiple neural network (NN) based predictive models accessible by the software code. The hardware processor executes the software code to receive input data corresponding to an interaction with a user, determine a generic expression for use in the interaction, and identify one of the character personas as a persona to be assumed by the multi-persona social agent. The software code also generates, using the generic expression and one of the NN based predictive models corresponding to the persona to be assumed by the multi-persona social agent, a sentiment driven personified response for the interaction with the user based on a vocabulary, phrases, and one or more syntax rules idiosyncratic to the persona to be assumed, and renders the sentiment driven personified response using the multi-persona social agent.

Abstract: A parking assistance apparatus for aiding a driver of a motor vehicle with a parking process, having an environment recording unit configured to record environment data of the motor vehicle at least during a parking process, having a storage unit configured to at least temporarily store the parking trajectory performed by the driver during the parking process and the recorded environment data, and having a processing unit configured to determine a trained parking trajectory, wherein in order to determine the trained parking trajectory, the processing unit is configured to check the driver-performed parking trajectory for a more efficient parking trajectory.

Abstract: A portable electronic device is disclosed comprising data processing means and a data repository containing: data records representative of locations relevant to or within a digital map; and data representative of an index associating words contained in the data records with the records in which those words appear. The device further comprises means for, in relation to a received search query including a search string, processing the search string to provide one or more search words; querying the index to identify data records containing the or each search word; and generating a rank for each of the one or more identified data records indicative of the relevance of each identified data record to the search query.

Abstract: A screen reader application traverses each node in a document object model (DOM) for the text stylization. Properties for foreground color, background color, font type, font size and font stylization are algorithmically reduced to an identifier. Each node in the DOM with the same identifier has the same text stylization. Unique and infrequent text stylizations by a webpage author signal a point of interest. The screen reader application locates and navigates to that node in the DOM on behalf or in response to the end user. Points of interest are further identified by a number of additional factors. A first includes percentage of text of having the text stylization versus total text in the DOM. A second includes excluding candidate point of interest nodes having more than 250 characters. Others include imposing minimum font sizes and text contrast ratios to qualify as a point of interest.

Abstract: An awakening degree detecting device outputs awakening degree information corresponding to an awakening degree of a driver of a vehicle. A stimulus providing device provides the driver with a stimulus including at least one of a vibration stimulus imparting vibration and an apparent motion stimulus giving an illusion of motion presence. A control device outputs, based on the awakening degree information, a first control signal causing the stimulus providing device to provide the stimulus in a case where the awakening degree is less than a first threshold, and to output a second control signal causing the stimulus providing device to provide the stimulus after the first control signal is outputted.

Abstract: To provide an information generation device and the like that, when generating transmission data of inter-mobile body communication having a limited data amount, generate information that can be effectively used by a mobile body on a reception side. An information generation device 1 mountable on a mobile body (5), the information generation device 1 estimating a control attribute concerning driving control for another mobile body existing in a communicable range from a position of the mobile body (5), the control attribute being a control attribute of mobile bodies relatively large in number, (S4) and generating information for transmission transmitted to the other mobile body, the information for transmission including mobile body information of an item prioritized according to the estimated control attribute among a plurality of items of mobile body information including information concerning the driving control for the mobile body (5) (S7).

Abstract: Disclosed herein are an apparatus and method for providing a customized traffic guidance service. The method may include acquiring data about one or more nearby objects, detecting surrounding traffic conditions based on the data about the nearby objects, determining whether to provide a customized traffic guidance service, selecting one or more target objects to which the customized traffic guidance service is to be provided and guidance information to be provided to each of the target objects, generating a customized traffic guidance message for the selected guidance information, and transmitting the customized traffic guidance message to the corresponding target object.

Abstract: Provided are methods, systems, devices, and tangible non-transitory computer readable media for offline mapping and navigation. The disclosed technology can determine a current region associated with a current location of a navigation device. Predicted travel destinations from the current region can be determined based on aggregated travel data. The aggregated travel data can include previous travel destinations from within the current region. Based on the current region and the predicted travel destinations, additional regions associated with the current region can be determined. Further, connectivity information can be determined based on network data. The connectivity information can be associated with network connectivity within the additional regions. The additional regions can be prioritized based on the connectivity information.

Abstract: A plurality of instances of probe data are received. Each instance of probe data corresponds to travel of a vehicle apparatus along a first segment, comprises an indication of at least one parameter characterizing the travel of the vehicle apparatus along the first segment. The at least one parameter is extracted from the instances of probe data to generate a distribution of parameters. One or more clusters of instances of probe data are identified based on the distribution of parameters. Responsive to identifying two or more clusters, a representative at least one parameter is determined for each cluster, and an element of a data structure is modified based thereon for each cluster. Responsive to identifying only one cluster of instances of probe data, the data structure is not modified based on the cluster. A navigation application is configured to use the data structure to perform a navigation function.

Abstract: Static obstruction detection and management systems and methods include, in an Air Traffic Control (ATC) system for any flying vehicles including any of passenger drones and Unmanned Aerial Vehicles (UAVs), receiving monitored data from a plurality flying vehicles related to static obstructions; receiving external data from one or more external sources related to the static obstructions; analyzing the monitored data and the external data to populate and manage an obstruction database of the static obstructions; and transmitting obstruction instructions to the plurality of flying vehicles based on analyzing the obstruction database with their flight plan.

Abstract: Vehicle speed data of a plurality of vehicles registered for each link of map information and respective average vehicle speeds calculated from the vehicle speed data are acquired, and the links are divided into vehicle speed groups according to the magnitude of the average vehicle speed. For each of the vehicle speed groups, the vehicle speed data of the plurality of vehicles is collectively subjected to frequency distribution analysis, and a predicted vehicle speed transition simulating a change in vehicle speed is calculated for each of the vehicle speed groups. An electricity consumption rate model of the vehicle is applied to the calculated predicted vehicle speed transition to predict an electricity consumption rate corresponding to the average vehicle speed for each of the vehicle speed groups.

Abstract: An autonomous cleaning robot includes a controller configured to execute instructions to perform one or more operations. The one or more operations includes operating a drive system to move the cleaning robot in a forward drive direction along a first obstacle surface with a side surface of the cleaning robot facing the first obstacle surface, then operating the drive system to turn the cleaning robot such that the side surface of the cleaning robot faces a second obstacle surface, then operating the drive system to move the cleaning robot in a rearward drive direction along the second obstacle surface, and then operating the drive system to move the cleaning robot in the forward drive direction along the second obstacle surface.

Abstract: A vehicle controller includes: a recognition unit that recognizes a surrounding state of a subject vehicle traveling in a road lane; an area specification unit that specifies a specific area in the lane in which the subject vehicle travels; and a driving control part that controls the subject vehicle with respect to a vehicle traveling ahead thereof, based on a result recognized b the recognition unit. The driving control part determines a condition of shifting from a first support status to a second support status such that there is a vehicle traveling ahead of the subject vehicle in the lane; and, if the subject vehicle enters the specific area at the first support status, the subject vehicle keeps the first support status, and if the subject vehicle enters the specific area at the second support status, shifts the support status from the second to the first support status.

Abstract: A communication device includes one or more processors and one or more memories supporting communication, the device comprising a plurality of modes, including at least one focused mode. When the device is in the focused mode, one or more features of the device are at least partially disabled, and wherein the one or more features of the device that are at least partially disabled in the focused mode include one or more features relating to communication supported by the device. The device supports a user interface for setting the device into a focused mode. The interface may have a “focus” button. A focused mode is implemented, at least in part, by an operating system of the device. Setting the device in focus mode causes at least one other device associated with the user to be set to focus mode.

Abstract: This disclosure describes a radar system configured to estimate a yaw-rate and an over-the-ground (OTG) velocity of extended targets in real-time based on raw radar detections. This disclosure further describes techniques for determining instantaneous values of lateral velocity, longitudinal velocity, and yaw rate of points of a rigid body in a radar field-of-view (FOV) of the radar system.

Abstract: A method and a system determine a change of state of an autonomous device, such as an autonomous vehicle. A plurality of performance parameter values obtained by monitoring at least one performance parameter during the autonomous operation of the device is received. A performance quantity quantifying the quality of autonomous operation of the device, in particular the quality of driving of the autonomous vehicle, is determined based on the obtained performance parameter values and information associated with a flux of software and/or hardware related to the autonomous operation of the device. Further, a change of state value for the device is determined based on the performance quantity.

Abstract: An application processing unit executes an application that is perforated as a notification device mounted in a vehicle. In the application processing unit, an input unit acquires information indicating that the vehicle is receiving driving assistance. In the application processing unit, an output unit outputs notifications to other vehicles in accordance with the information that has been acquired at the input unit.