Abstract: An apparatus, method and computer program product provide a map layer of one or more temporary dynamic obstructions. For example, the apparatus is configured to receive vehicle/driver behavior data associated with a vehicle at a portion of a road, determine a likelihood of a temporary dynamic obstruction existing proximate to the portion based on the vehicle behavior data, and update a datapoint of a map layer based on the likelihood. The datapoint indicates a state of existence of the temporary dynamic obstruction at the portion.

Abstract: Systems and methods for traffic control and route guidance are provided. In some aspects, a method for controlling traffic includes receiving vehicle information for a vehicle navigating a location on a road network and identifying a maneuver of the vehicle at the location based on the vehicle information. The method also includes determining an intrusiveness of the maneuver made by the vehicle, and controlling traffic at the location based on the intrusiveness of the vehicle.

Abstract: An apparatus, method and computer program product are provided for determining a state of visibility of a road object, such as a road sign, using vehicle sensor data. For example, the apparatus determines whether one or more sensors of a first vehicle observes a road sign. If the road sign is not observed by the one or more sensors, the apparatus determines whether one or more second vehicles is obscuring the road sign. If the one or more second vehicles is not obscuring the road sign, the apparatus determines whether the road sign is obscured due to a weather condition. If the road sign is obscured due to the weather condition, the apparatus generates a signal indicating that the road sign was obscured due to the weather condition.

Abstract: A vehicle apparatus onboard a vehicle identifies a human operator-free trip trigger corresponding to a human operator-free trip the vehicle is to take. The vehicle is located at an origin location of the human operator-free trip. Responsive to the vehicle apparatus identifying the human operator-free trip trigger, a candidate destination location for the human operator-free trip is identified. A candidate route from the origin location to the candidate destination location is generated. The vehicle apparatus provides a trip request including the candidate route to an approval apparatus. The vehicle apparatus receives a message from the approval apparatus. Responsive to determining that the message comprises an approval of the candidate route, the vehicle apparatus controls one or more systems of the vehicle to cause the vehicle to traverse the candidate route from the origin location to the candidate destination location.

Abstract: A method, a system, and a computer program product may be provided for generating map data associated with one or more objects in a region. The method includes receiving point cloud data associated with the region. The method further includes generating a georeferenced top down raster image of the region, based on the point cloud data. The georeferenced top down raster image is indicative of a top surface of each of the one or more objects. The method further includes determining boundary data of the top surface of each of the one or more objects, based on the georeferenced top down raster image and generating the map data associated with the one or more objects, based on the boundary data of the top surface of each of the one or more objects.

Abstract: An apparatus and method for encoding objects in a camera-captured image with a deep neural network pipeline including multiple convolutional neural networks or convolutional layers. After identifying at least a portion of the camera-capture image, a first convolutional layer is applied to the at least the portion of the camera-captured image and multiple subregion representations are pooled from the output of the first convolutional layer. One or more additional convolutions are performed. At least one deconvolution is performed and concatenated with the output of one or more convolutions. One or more final convolutions are performed. The at least the portion of the camera-captured image is classified as an object category in response to an output of the one or more final convolutions.

Abstract: An apparatus, method and computer program product provide a route using a map layer of one or more sound events. For example, the apparatus receives a user preference indicating a sound type, identifies a road segment associated with the sound type from a plurality of road segments, selects a subset from the plurality of road segments as a route based on association of the subset with respect to the road segment, and outputs the route.

Abstract: Various methods are provided for facilitating map update to an environment map using gradient thresholding. One example method may include detecting an observed feature associated with a first feature decay and generating an interpolated feature that approximates the observed feature associated with a second decay. The method also includes determining a gradient difference between the interpolated feature and a stored map feature. The stored map feature represents an encoding of the observed feature associated with a third decay associated with an environment map. The method also includes determining a relationship between the gradient difference and a feature gradient update threshold, and, based upon the relationship, updating the environment map by at least replacing the map feature representation associated with the environment map with the approximated feature representation.

Abstract: An approach is provided for providing mobility insight data related to shared vehicles for a point of interest (POI). The approach involves retrieving shared vehicle data for the POI. The shared vehicle data indicates one or more shared vehicle events that have occurred, that are occurring at a given time, or a combination thereof within a threshold proximity of the POI. The approach also involves processing the shared vehicle data to determine mobility insight data. The mobility insight data includes a shared vehicle usage pattern, a shared vehicle availability pattern, or a combination thereof under one or more contexts for travel to or from the POI. The approach further involves presenting the mobility insight data in a location-based user interface.

Abstract: Disclosed is an approach to enable radio map download for Global Navigation Satellite System (GNSS)-denied areas. In particular, processor(s) (e.g., of positioning server(s)) could identify GNSS-denied area(s) in an initial radio map, the GNSS-denied area(s) being (i) one or more areas in which at least one GNSS signal is or was unavailable and (ii) a subset of a plurality of areas represented by the initial radio map. Subsequently, the processor(s) could generate a partial radio map representing radio data only for the GNSS-denied area(s) identified in the initial radio map, and could then transmit the partial radio map to a mobile device for storage at the mobile device. In this way, the mobile device could optimize resource usage and perform radio-based position estimations at least in the GNSS-denied area(s) that were identified.

Abstract: A method includes obtaining piece(s) of calendar information indicative of at least one appointment taking place in a space and extracting a set of space identifiers representing space(s) of the venue. The space identifier(s) for one or more spaces are extracted based on an indoor map of the venue. The method also includes determining or triggering determining whether at least a part of the set of space identifiers or one or more spaces of the set of space identifiers match(es) the at least one space as represented by the piece(s) of calendar information; and if a match is found: determining one or more reference location estimates. A respective reference location estimate is indicative of a location of the space that was determined to be a match. A corresponding apparatus, computer program product and system are also provided.

Abstract: A method, apparatus and computer program product utilize digital signatures to efficiently identify objects of interest within images and cause graphical presentation data to be accurately displayed for the objects of interest. The method receives one or more images generated by an image capture device. The method determines one or more digital signatures associated with one or more objects within the one or more images. Based on the one or more digital signatures, the method also determines graphical data placement information comprising one or more graphical data placement regions for the one or more objects. The method also receives graphical presentation data comprising one or more graphical assets. The method also causes display of the graphical presentation data that includes overlaying at least one graphical asset of the one or more graphical assets on the at least one graphical data placement region.

Abstract: An approach is provided for providing probe anomaly detection. The approach, for example, involves determining an expected vehicle volume for a geographic region over a time epoch. The expected vehicle volume is calculated from historical vehicle volume data. The approach also involves determining an actual vehicle volume for the geographic region over the time epoch. The actual vehicle volume is based on current vehicle volume data collected from a plurality of vehicles traveling in the geographic region. The approach further involves computing a vehicle volume change based on the expected vehicle volume and the actual vehicle volume. The approach then involves providing the vehicle volume change as an indicator of a probe anomaly in the geographic region.

Abstract: A method, apparatus and computer program product are provided to improve the positioning performance of a positioning application. The method receives particular radio signal propagation information regarding received radio signal propagation parameter of a respective signal collected by a mobile device following transmission by a beacon on a sub-channel. The method also receives past radio signal propagation information regarding the received radio signal propagation parameter of signals previously transmitted by the beacon and collected by the mobile device on one or more sub-channels. Based on the particular radio signal propagation information and the past radio signal propagation information, the method determines a value for representing the respective signal that is different from the received radio signal propagation parameter of the respective signal.

Abstract: Current data for a geographic area is accessed. The current data comprises at least one of (a) current traffic data for the geographic area, (b) current incident data for the geographic area, or (c) current weather data for the geographic area. Based on the current data, autonomous driving instructions are determined for the geographic area. A notification comprising the autonomous driving instructions is provided such that the notification is received by a vehicle apparatus located within the geographic area or expected to enter the geographic area based on a route being traversed by a vehicle corresponding to the vehicle apparatus. The vehicle apparatus is onboard the vehicle and is configured to control the vehicle in accordance with the autonomous driving instructions.

Abstract: A method, apparatus and computer readable storage medium are provided for determining the installation positions of radio devices. Signal propagation time parameters are obtained with each signal propagation time parameter associated with an installation position and an observation position. Each signal propagation time parameter represents a respective signal propagation time value of radio signal(s) traveling between the respective installation and observation positions. A signal propagation time parameter is selected for defining a coordinate system. First point coordinates are selected to represent the installation position associated with the selected signal propagation time parameter, and second point coordinates are selected to represent the observation position associated with the selected signal propagation time parameter.

Abstract: An approach is provided for an asymmetric evaluation of polygon similarity. The approach, for instance, involves receiving a first polygon representing an object depicted in an image. The approach also involves generating a transformation of the image comprising image elements whose values are based on a respective distance that each image element is from a nearest image element located on a first boundary of the first polygon. The approach further involves determining a subset of the plurality of image elements of the transformation that intersect with a second boundary of a second polygon. The approach further involves calculating a polygon similarity of the second polygon with respect the first polygon based on the values of the subset of image elements normalized to a length of the second boundary of the second polygon.

Abstract: A parking cruise request is received. A network version starting segment is identified and a route determination algorithm is expended starting at the network version starting segment. When the route determination algorithm is expanded to a new segment, a cost value is determined for the new segment based at least on the likelihood of finding parking on the new segment. Responsive to determining that the likelihood of finding parking along the cruise route does satisfy the threshold probability requirement, map version agnostic identifiers for each segment of the cruise route are generated. Each of the map version agnostic identifiers are coded using at least one coding function to generate coded map version agnostic identifiers. A bloom filter having the coded map version agnostic identifiers as members is generated. A parking cruise route response comprising the bloom filter is provided such that a mobile apparatus receives the parking cruise route response.

Abstract: Described herein are methods of generating learning data to facilitate de-biasing the labeled location of an object of interest within an image. Methods may include: receiving sensor data, where the sensor data is a first image; determining reference corner locations of an object in the first image using image processing; generating observed corner locations of the object in the first image from the determined reference corner locations; generating a bias transformation based, at least in part, on a difference between the reference corner locations and the observed corner locations of the object in the first image; receiving sensor data from another image sensor of a second image; receiving observed corner locations of an object in the second image from a user; and applying the bias transformation to the observed corner locations of the object in the second image to generate de-biased corners for the object in the second image.

Abstract: A method, apparatus and computer program product are provided to determine lane status confidence indicators of lane status predictions such as closures and/or shifting. Lane statuses and corresponding confidence indicators are determined based on probe data, such as probe data collected from vehicle and/or mobile devices traveling along a road segment. Probe data may be partitioned into clusters and compared to partitioned subsets of the probe data. Cluster stability for the segment and corresponding lane status confidence indicators can be determined based on the comparison. Accordingly, determinations of whether to transmit predicted lane statuses to another system, service, and/or user device may be made.