Abstract: A vehicle-behavior prediction device includes: a priority determination section that determines the priority of a host vehicle and a vehicle concerned when the host vehicle and the vehicle concerned pass through a road section; and a vehicle control section that sets the time from when the vehicle concerned stops to when the host vehicle starts action to avoid the vehicle concerned to be shorter in a case where the priority of the host vehicle is low than in a case where the priority of the host vehicle is high.

Abstract: Various embodiments of the present technology generally relate to data delivery. More specifically, some embodiments of the present technology relate to systems and methods for using spatial and temporal analysis to associate data sources with mobile devices. The delivery of data to support a wide variety of services for and about mobile devices that are based on data stored in corporate, commercial, and government databases which is not currently linked to individual mobile devices. Some embodiments allow advertisers to better target their ads to relevant target audiences with greater accuracy.

Abstract: A method and an apparatus for generating a vehicle navigation path includes: acquiring attribute information and trajectory information of a vehicle; generating yaw information of a vehicle based on current road network information of a road network and the trajectory information of the vehicle; acquiring a confidence level of limit information of a road section in the road network within a current time period; and updating the confidence level of limit information of the road section in the road network within the current time period based on the attribute information and the yaw information of the vehicle, and generating a navigation path of the vehicle based on the updated confidence level of limit information.

Abstract: Provided is an electronic device including a display to output an image, a parallax optical element configured to provide light corresponding to the image to a plurality of viewpoints, an input interface configured to receive an input to calibrate the parallax optical element by a user who observes a pattern image from a reference viewpoint among the plurality of viewpoints, and a processor configured to output the pattern image generated by rendering a calibration pattern toward the reference viewpoint, adjust at least one of a pitch parameter, a slanted angle parameter, and a position offset parameter of the parallax optical element based on the input, and output, by the display, the pattern image adjusted by re-rendering the calibration pattern based on an adjusted parameter.

Abstract: Methods, apparatus, and systems for passenger authentication and entry for autonomous vehicles are disclosed. A vehicle receives information over a first communication channel from a first mobile device. The information specifies a geographical location. The information causes the vehicle to arrive at the geographical location. The vehicle transmits a first message to a second mobile device indicating that the vehicle has arrived at the geographical location. The first message includes a graphical icon representing the vehicle. The graphical icon is for display on a user interface of the second mobile device. The vehicle receives a second message from the second mobile device over a second communication channel. The second message indicates that the graphical icon was dragged across the user interface into a graphical receptacle displayed on the user interface. Responsive to receiving the second message, at least one door of the vehicle is unlocked.

Abstract: Computer vision systems and methods for automatic parcel alignment are provided. The system receives a geotagged aerial image, parcel information, and semantic information where each of the parcel and semantic information are overlaid on the geotagged aerial image. The system cleans the parcel information and the semantic information. The system optimizes the parcel information by grouping geo-registered parcels present in the geotagged aerial image into a plurality of islands and generating a plurality of parcel alignment solutions for each island of the plurality of islands. The system refines the plurality of parcel alignment solutions for each island and regularizes each island. The system generates a composite parcel alignment solution based on the refined plurality of parcel alignment solutions for each regularized island to align the geo-registered parcels of each regularized island with the geotagged aerial image.

Abstract: Systems and methods described receive a request for a transportation plan for a user, wherein the request comprises a starting point and an ending point for a route. Systems and methods then generate a set of potential transportation plans for the route, determine an impact of a subset of plans in the set of potential transportation plans and estimate a likelihood of acceptance of the subset of plans in the set of potential transportation plans based on a personal preference model for the user. Systems and methods also select an influence strategy of the user based on a user model and generate a message recommending a selected plan from the subset of plans for the user, wherein the message is generated based on the selected influence strategy.

Abstract: A driving assist system executes risk avoidance control for reducing a risk of collision with a target existing ahead of a vehicle. A vehicle state parameter includes imaginary relative position and velocity of the vehicle. A target state parameter includes expected direction and speed of movement the target. A risk value is expressed by a function of an estimated collision speed between the vehicle defined by the vehicle state parameter and the target defined by the target state parameter. The driving assist system sets multiple patterns of the target state parameter and sets a probability of each target state parameter. A partial risk value is the risk value when each target state parameter is used. A final risk value applied to the risk avoidance control is a sum of products of the probability and the partial risk value with respect to the multiple patterns of target state parameter.

Abstract: Systems and methods are described that provide measures of uncertainty for map features provided in association with a vehicle map service. A vehicle map service may include a vehicle map model that is configured to provide map data for a geographic area in association with a vehicle map service. The vehicle map model can have an entity schema that includes a first address space configured to represent a plurality of entities associated with the vehicle map model. The vehicle may service may include an uncertainty model that is configured to represent a plurality of uncertainties associated with the plurality of entities. The uncertainty model can have an uncertainty schema that includes a second address space that is separate from the first address space. Uncertainties in the second address space can point to one or more entities in the first address space.

Abstract: A method and system for determining a geographical location and orientation of a vehicle (200, 300) travelling through a road network is disclosed. The method comprises obtaining, from one or more cameras (202, 302) associated with the vehicle (200, 300) travelling through the road network, a sequence of images (500) reflecting the environment of the road network on which the vehicle (200, 300) is travelling, wherein each of the images has an associated camera location at which the image was recorded. A local map representation representing an area of the road network on which the vehicle (200, 300) is travelling is then generated using at least some of the obtained images and the associated camera locations.

Abstract: Systems are disclosed for navigating a marine vessel with a navigation system that displays a planned route including a set of current and future waypoints. The system has a display, an integrated user input control, a motor and a rudder. A new desired current heading and new future waypoints with associated future headings are provided and a corresponding autopilot navigates accordingly.

Abstract: A map information correction method for correcting map information includes information of a lane boundary line, the method further including: detecting a position with respect to an own vehicle of a lane boundary line set in place on a road surface around the own vehicle; estimating an own position on a map of the own vehicle; and correcting, depending on the estimated own position and the detected position of the lane boundary line, a position of the lane boundary line included in the map information by, in a first region comparatively close to the own vehicle, a larger rotational correction amount than in a second region comparatively far from the own vehicle and, in the second region, a larger translational correction amount than in the first region.

Abstract: This document describes techniques and systems to make determinations of lane-type and roadway hypotheses in a road model. The road-perception system can fuse various forms of evidence to determine lane-type hypotheses and respective belief masses associated with the lane-type hypotheses. The road-perception system the computes, using the belief masses, a belief parameter and a plausibility parameter associated with the lane-type hypotheses. One or more roadway hypotheses are then determined using the lane-type hypotheses. The road-perception system then uses the respective belief parameter and plausibility parameter associated with the lane-type hypotheses to compute a belief parameter and a plausibility parameter associated with the roadway hypotheses. In this way, the described techniques and systems can provide an accurate and reliable road model with quantified uncertainty.

Abstract: An automatic vehicle positioning management system includes an on-vehicle apparatus and a portable device. The on-vehicle apparatus, installed on a vehicle, acquires a first location of the vehicle through wireless positioning. The first location is sent to the portable device which acquires a second location of the vehicle through GPS. When multiple vehicles form a fleet, each vehicle respectively sends its first and second locations to a server through its portable device. The second location of each vehicle is corrected by operations of point error analysis, image overlay and point error correction, so that the fleet can be managed more precisely.

Abstract: Provided are a control unit and a method in a control unit to automatically control a lane change assist function in a vehicle. Multiple conditions indicating that a lane change assist function are activated at a current position of the vehicle are evaluated in the control unit. The conditions are selected from sensor based conditions, historical based conditions, and map based conditions. Sensor based conditions are conditions based on sensor. Historical based conditions are conditions based on historical data received. Map based conditions are conditions based on digital map data. If conditions from at least two different groups of conditions are evaluated as met, a digital signal is provided in the control unit enabling activation of the lane change assist function in the vehicle.

Abstract: Systems and methods are disclosed for generating an assessment of safety parameters using sensors and sensor data. One method may include, receiving, by a computing device having one or more processors and from a user device, a request for generating an neighborhood safety assessment for a desired geographic area, wherein the request is based on an assessment of a first neighborhood safety parameter of a plurality of neighborhood safety parameters; determining, by the computing device, one or more sensors associated with the desired geographic area; receiving, by the computing device in real time and from the one or more sensors, a present value for a characteristic of the first neighborhood safety parameter of the one or more neighborhood safety parameters; and generating, based on the received present value, an assessment of the first neighborhood safety parameter of the one or more neighborhood safety parameters for the desired geographic area.

Abstract: A method for landmark-based localization of a vehicle involves forming a plurality of position hypotheses for a vehicle position based on a forming of associations between sensor landmark objects detected by sensor and map landmark objects stored in a digital map. A most likely vehicle position is ascertained as the localization result on the basis of a probabilistic filtering of the position hypotheses, and a guaranteed position area is ascertained, in which a predefined error upper limit is not exceeded. This is performed several times with different set-ups of the probabilistic filtering. The localization result with the smallest guaranteed position area is selected as vehicle position if the guaranteed position areas overlap fully in pairs.

Abstract: An example operation includes one or more of receiving, by a first transport, an indication from a traffic signal that the first transport is legally able to move from a stopped disposition, elapsing a period of time between receiving the indication and the first transport did not move during the period of time, and receiving a notification at the end of the period of time, by the first transport, that the first transport ought to move.

Abstract: The present disclosure relates to systems and processes for interacting with mapping applications. In one example, a virtual assistant server can efficiently communicate with a map server to provide a user with map data in response to spoken user requests received at a user device. In another example, communicatively coupled electronic devices can be synchronized such that a location marker generated on one device can be displayed on the other device. In another example, an electronic device can display simplified views of individual route directions that can be updated based on movement of the user or in response to user requests. In another example, an electronic device can selectively display an interface including a current location of a user or an interface including a route to a predicted destination based on contextual information associated with the user. The interfaces can include affordances for launching an associated mapping application.

Abstract: A control method for a cleaning system, comprising the following steps: first control step—controlling a transfer robot to move a cleaning robot to a cleaning area; cleaning control step—controlling the cleaning robot to perform a cleaning operation on a upper surface of the cleaning area; second control step—controlling a transfer robot to move the cleaning robot away from the cleaning area.

Abstract: Systems and techniques by which a navigation system provides directional information for vehicular travel that is customized based upon real-time conditions, a safety profile associated with a vehicle driver, and the safety assessment associated with the characteristics of road segments are disclosed. In one implementation, a method for a personalized vehicular navigation assessed dynamically based on risk tolerance includes retrieving data indicative of accident history associated with at least one of the road segments, retrieving data indicative of real-time condition of the road segments, and retrieving a user profile associated with the user. The method further includes calculating risk scores, based on the accident history and the real-time conditions and weighed based on tolerance level and the driver's history, associated with a plurality of proposed routes, identifying a personalized route based on the risk scores, and transmitting the identified personalized route to a device.

Abstract: Provided are an output device, a method for generating a machine learning model, and a computer-readable storage medium for properly controlling a human-powered vehicle so as to travel comfortably for a long time by using a machine learning model. The output device includes an acquisition unit that acquires input information related to traveling of a human-powered vehicle, and a processor configured to train a machine learning model in accordance with an index value indicating electric power consumption efficiency in a power supply device for supplying electric power to a component of the human-powered vehicle, and to output output information related to controlling the component when the input information is inputted.

Abstract: Methods, systems, and devices are described for providing dynamic spatial allocation of satellite capacity based on aircraft load forecasting. In embodiments, a satellite communications system provides network access service over a service area via a plurality of satellite user beams, predicts spatial network resource demand for the service area over one or more service periods based at least in part on forecasted travel paths of a plurality of mobile multi-user terminals over the one or more service periods and respective predicted service demands for the plurality of mobile multi-user terminals, determines a satellite capacity resource configuration for the plurality of satellite user beams for the one or more service periods based on the predicted spatial network resource demand, and then adapts at least one characteristic of the plurality of satellite user beams for the one or more service periods based on the determined satellite capacity resource configuration.

Abstract: A network system determines dissimilarities between a digital map and trace data of a road network in an area as service providers and service requestors coordinate service using the road network in the area. To determine dissimilarities the network system can determine a suggested route, determine a predicted route, receive executed trace data, and compare the predicted route data to the executed trace data for the suggested route. The network system may aggregate trace data when determining a dissimilarity. The network system can quantify the differences between traces to determine dissimilarities. Quantifications can include, ratios, bounds, and scores. The network system can determine and alternate route if a dissimilarity indicates that the state of a road segment has changed (e.g., from “open” to “closed”). The network system can modify guidance instructions if a dissimilarity indicates that a guidance instruction is misleading.

Abstract: A vehicular vision system includes a camera disposed at and viewing exterior and rearward of a vehicle. The system, as the vehicle is driven forward along a traffic lane of a road, and responsive to processing of image data captured by the camera, determines a traffic lane marker rearward of the vehicle. The system, responsive to determining the traffic lane marker, determines a position of the vehicle within the traffic lane the vehicle is moving along. The system, responsive to determining the position of the vehicle within the traffic lane is within a threshold distance of a side of the traffic lane, alerts an occupant of the vehicle.

Abstract: A method for traffic prediction of a road network includes receiving past traffic information corresponding to multiple locations on the road network. The method further includes determining, by a processor and based on the past traffic information, temporal characteristics of the past traffic information corresponding to changes of characteristics over time and spatial characteristics of the past traffic information corresponding to interactions between locations on the road network. The method further includes predicting predicted traffic information corresponding to a later time based on the determined temporal and spatial characteristics of the past traffic information. The method further includes receiving detected additional traffic information corresponding to the later time.

Abstract: Disclosed is a method of providing a safe navigation route for travelling. The method comprises receiving, at a graphical user interface of a processor-based user device, a query for a navigation route from a user, comprising a source station and a destination station, determining, at an application server, a plurality of navigation routes between the source station and the destination station, analyzing, at the application server, each of the plurality of navigation routes to compute a safety index associated with each of the plurality of navigation routes, identifying, at the application server, at least one safe navigation route between the source station and the destination station, and rendering, at the graphical user interface, the at least one safe navigation route between the source station and the destination station in response to the query from the user.

Abstract: Systems and methods are provided for receiving an ephemeral message, generating an event overlay interface, causing the event overlay interface to be overlaid on top of the ephemeral message, and receiving a selection of an event overlay component via the event overlay interface. The systems and method are also provided for generating a modified event overlay component based on the added plurality of event overlay content, causing the modified event overlay component to be overlaid on top of the ephemeral message, and transmitting the ephemeral message comprising the overlaid modified event overlay component.

Abstract: A display control device provided at a vehicle and including a processor, a first display section, a second display section adjacent to the first display section, and a third display section adjacent to the second display section in a different direction from the first display section. The processor being configured to: control the first display section, the second display section, and the third display section; acquire notification information to be notified to a driver of the vehicle; and execute an animation such that the notification information currently being displayed on one of the first display section or the third display section is displayed on the second display section and then displayed on another of the first display section or the third display section.

Abstract: To prevent the capture and transmission of excluded data, the current pose and motion of a video camera are used to predict a pose and predicted FOV for the video camera over one or more future frames. The predicted pose and predicted FOV are used to generate cues to enforce an alignment condition to an allowed object or to prevent capture of a disallowed object. If the cues fail, an interrupt is generated to prevent capture of disallowed objects in the video signal and perhaps to deactivate the video camera. The predicted FOV prevents excluded data from entering the video signal and reaching circuitry or being processed downstream of the video camera. This can be implemented in real or near real time.

Abstract: A method for operating a more highly automated vehicle (HAF), in particular a highly automated vehicle, including: S1—providing a digital map or a highly accurate digital map, in a driver-assistance-system of the HAF; S2—determining a current vehicle position and locating the vehicle position in the digital map; S3—providing at least one expected feature property of at least one feature in a surroundings of the HAF; S4—detecting at least one actual feature property of a feature in the surroundings of the HAF at least partially on the basis of the expected feature property; S5—comparing the actual feature property with the expected feature property and ascertaining at least one differential value; S6—checking the plausibility of the actual feature property at least partially on the basis of the differential value. Also described is a corresponding system and a computer program.

Abstract: A server for optimizing a travel schedule is disclosed. The server includes a database storing travel information provided from a first electronic device and local information provided from a second electronic device and a processor that generates a travel itinerary based on the travel information and the local information. The travel itinerary includes a travel schedule for each time zone in a travel day and time. The travel information includes information about a travel place, a travel day and time, transportation, and accommodations. The local information includes information about traffic in the travel place, accommodations in the travel place, a restaurant in the travel place, a landmark in the travel place, activity in the travel place, or news for the travel place.

Abstract: The presence or absence of a preamble is detected with accuracy in a reception apparatus that receives a signal including a preamble. A reception section receives a subframe including a subframe preamble and a message and a frame including a frame preamble. A processing section performs a process of detecting the presence or absence of the subframe preamble according to whether or not a given relation holds between a reception timing of the subframe preamble and a reception timing of the frame preamble. A message decoding section extracts the message from the subframe and decodes the message in a case where the presence of the subframe preamble is detected.

Abstract: Provided is a driving support device including a storage device and a hardware processor, the hardware processor executing a program stored in the storage device to: acquire, from a mobile object, information on existence of a specific situation on a planned travel route, which is set as a route to a destination set by an occupant of the mobile object; plan a coaching item, including notification of warning information relating to traveling of the mobile object and suggestion relating to traveling of the mobile object, based at least on the information; and control a notification device so as to execute the notification and suggestion based on the planed coaching item.

Abstract: An approach is provided for providing data-driven traffic simulations for ad-hoc reconfigurations of a smart-city infrastructure. The approach involves retrieving training traffic data collected from a geographic area supported by the smart-city infrastructure. The approach also involves determining one or more configurations of the smart-city infrastructure corresponding to one or more times at which the training traffic data was collected, wherein the one or more configurations indicate respective states of one or more traffic-related actions supported by the smart-city infrastructure. The approach further involves training a predictive model to predict a traffic-related key performance indicator based on the training traffic data and the one or more configurations, wherein the predictive model is used to predict the traffic-related key performance indicator for a reconfiguration of at least one of the one or more traffic-related actions.

Abstract: A computerised method of creating map data from position data derived from the positions (606) of at least one vehicle over a period of time, the map data comprising a plurality of navigable segments representing segments (602,604) of a navigable route (607) in the area covered by the map and the map data also comprising intersections between navigable segments (602,604) representing intersections in the navigable route, the method comprising using a processing circuitry to perform the following steps: i. processing the position data; ii. calculating from the processing of the position data a transit time or set of transit times for at least some of the intersections in the map data; and iii generating further map data, which for at least some of the intersections therein, contains the calculated transit time or set of transit times associated with the intersection for which the calculation was made.

Abstract: A method for measuring a slope angle of a vehicle includes, by a controller: determining whether or not a speed of the vehicle is 0 based on a speed signal received from a vehicle speed sensor of the vehicle; measuring an extremal value measured first, an extremal value measured second, and an extremal value measured third among extremal values of an output signal of an acceleration sensor detecting a signal corresponding to the slope angle of the vehicle when the speed of the vehicle is 0; verifying whether or not the measured three extremal values satisfy conditions of the extremal values based on reference conditions of each of the extremal values; estimating a steady state value of the output signal of the acceleration sensor, based on the extremal values measured first and second among the verified three extremal values and a dynamic characteristic parameter of the vehicle or based on the verified three extremal values; and converting the steady state value into the slope angle of the vehicle.

Abstract: A portable electronic device includes a display, an operation receiver, and a controller. The display displays a menu screen including menu items. The operation receiver receives a user operation on the menu screen. The controller controls the display according to the user operation via the operation receiver. The menu screen further includes: first tab information indicating a category for classifying the menu items; second tab information indicating a plurality of sub categories included in the category; and third tab information indicating, for each of the sub categories, a menu item set number in which menu items in one sub category are partitioned to be displayed per a set on the menu screens. The controller changes menu items to be displayed on the menu screen, according to a user operation input via the operation receiver with the first, second, and third tab information displayed on the menu screen.

Abstract: Methods and systems for generating a real-time map of a survey area are provided. The methods and systems may include or be configured to carry out the steps of determining, based on a desired map resolution, a flight path over the survey area for a movable object having at least one image capture device. The methods and systems further may include obtaining images of the survey area captured by the at least one image capture device as the movable object travels along the flight path, and processing the images to generate the real-time map of the survey area with the desired map resolution.

Abstract: A system is described that infers that a user will need to complete a trip and selects a transportation service that the user can use to complete the trip. The system predicts a time to request a vehicle associated with the transportation service for completing the trip such that the request has sufficiently high degree of likelihood, of causing the vehicle to arrive at a future location by a final departure time; the final departure time being a latest time at which the user is predicted to need to begin traveling. Responsive to determining that a current time is within a threshold amount of time of the predicted time, the system sends, to a reservation system associated with the transportation service, a reservation request for the vehicle associated with the transportation service for completing the trip.

Abstract: A system and method including receiving a digital representation of a road that includes one or more lane representations; defining a factor graph including variable nodes and constraint nodes that encode lane boundary constraints for the lane map; translating the factor graph into a nonlinear optimization problem for altitudes of the lane map; generating a solution to the optimization problem; and generating a corrected lane map with an optimized altitude for the road based on the generated solution.

Abstract: A mobile device management system and method. The mobile device includes a global positioning system (GPS) tracker for locating the mobile device. The method includes establishing a zone boundary defining a first zone and a second zone in a monitoring area using the GPS tracker, wherein the mobile device is maintained in a first operating mode when the mobile device is located in the first zone and a second operating mode when the mobile device is located in the second zone; sending one or more characteristics of the zone boundary to a management system; receiving at least one change to the one or more characteristics of the zone boundary from the management system; and upon the mobile device being located outside the first zone for longer than a predetermined time period, performing alert actions.

Abstract: A position estimating apparatus including: a position estimating unit that compares a target in first coordinate system data indicating a position of the target by coordinates in a first coordinate system and a target in second coordinate system data indicating a position of the target present around a position estimation object by coordinates in a second coordinate system set based on a position and an attitude of the position estimation object at a predetermined starting timing, and estimates a position of the position estimation object in the first coordinate system based on a comparison result; and a comparison range adjusting unit that shrinks a coordinate range used for the comparison by the position estimating unit in the second coordinate system data when the position estimation object is turning.

Abstract: A vehicle information processing apparatus includes a communication unit configured to communicate with a terminal of a first user, a storage unit configured to store an end-of-use position and an expected end-of-use time at which a second user of a vehicle ends use of the vehicle for each of a plurality of vehicles subjected to autonomous driving control and occupied by the second user, and a vehicle selection unit configured to acquire a boarding position and a boarding time at which the first user wants to get on a vehicle from the terminal via the communication unit and select at least one vehicle, of which the end-of-use position and the expected end-of-use time are in a predetermined relationship with the boarding position and the boarding time, from among the plurality of vehicles while referring to the storage unit.

Abstract: A system and method for the classification of geographic locations based on vehicle trip logs, including: grouping a plurality of trip records by vehicle, wherein the plurality of trip records include start times and locations and stop times and locations; sorting the plurality of trip records for a vehicle in one of descending or ascending order with respect to stop times; calculating a plurality of time differences between consecutive trips of the plurality of trip records; storing the plurality of time differences in a stop time array; for a first plurality of time differences, storing the associated stop locations in a first location array; for a second plurality of stop times, storing the associated stop locations in a second location array; and computing a time difference median for each of the first location array and the second location array and returning the time difference medians as results for each location.

Abstract: A device may receive, from a vehicle device, a geographical (e.g., GNSS) location of a vehicle, and may utilize the GNSS location as a determined location of the vehicle when the GNSS location satisfies a first threshold. The device may receive, from the vehicle device, an image identifying reference points associated with the vehicle, and may process the image, with a VPS, to calculate a VPS location of the vehicle. The device may utilize the GNSS location of the vehicle as the determined location when the VPS location fails to satisfy a second threshold, and may calculate, when the VPS location of the vehicle satisfies the second threshold, coordinate sets based on groups of coordinate combinations from the GNSS location and the VPS location. The device may process the coordinate sets, with a model, to determine the determined location, and may perform actions based on the determined location.

Abstract: In some examples, a method of vector-raster data fusion includes receiving vector data for a geographical location, and statistically analyzing the vector data to obtain vector statistics. In some examples the method further includes rasterizing the vector statistics, and storing at least one of the vector data and the rasterized vector statistics together in a key-value store together with previously stored raster data for the geographical location. In some examples, the vector data further includes metadata, and the method further includes storing the metadata in at least one of the key-value store or a separate vector database.

Abstract: A method of displaying a nearby point of interest (POI) using augmented reality and an electronic device thereof. An operation method of an electronic device includes: acquiring a preview video; acquiring location information of the electronic device; acquiring information on at least one POI located in a vicinity; selecting a focus POI among at least one POI; determining first information to be provided to a user for general POIs; determining second information including more information than the first information to be provided to the user for the focus POI; determining a location on a screen on which the preview video in which the information on the at least one POI is to be displayed; and displaying the first information or the second information on the location on the screen on which the determined preview video of all or some of the at least one POI is provided.

Abstract: An approach is provided for pattern-based map matching of a probe trace to a digital map. The approach involves querying the digital map for a set of road links within a threshold distance of a probe point. The approach also involves determining a match starting point for each road link of a set of road links. The approach further involves selecting a sampled probe point from the probe trace. The approach also involves generating one or more patterns for said each road link based on the match starting point, the sampled probe point, the topology polyline, or a combination thereof. The approach further involves selecting a matched road link from among the set of road links based on the one or more patterns. The probe point is then snapped to the matched road link.

Abstract: A curbside management system and method for managing curbside use by connected and/or autonomous vehicles that includes one or more computing devices that execute instructions. One or more processors integrate at least a navigation component, an asset verification component, and a curbside management component, configured to generate recommended curbside access destinations for a vehicle associated with the customer and one of which is selected as the final curbside destination for the vehicle.