Abstract: Embodiments described herein relate to anonymizing of trajectories of mobile devices through the obfuscation of stay points. Methods may include: receiving probe data points of a trajectory in real-time or near real-time from a probe apparatus as it travels along the trajectory; calculating, for each probe data point, a probability of the trajectory reaching a stay point within a predetermined distance; providing sequential sub-sets of probe data points of the trajectory to a location-based service provider in response to the sequential sub-sets of probe data points including probe data points having a probability failing to satisfy a predetermined value; and identifying a last sub-set of probe data points of the sequential sub-sets of probe data points to provide to the location-based service provider in response to identifying a probe data point having a probability of the trajectory reaching a stay point within the predetermined distance satisfying the predetermined value.

Abstract: An apparatus, method and computer program product are provided for providing adaptive vehicle parking assistance. In one example, the apparatus receives sensor data indicating a user's interaction associated with a vehicle parking assistance feature. The vehicle parking assistance feature is a feature in which a vehicle causes a notification on a user interface in response to an object abutting or overlapping a virtual zone surrounding the vehicle. The apparatus determines a level of the user's familiarity on using the vehicle parking assistance feature based on the sensor data, and the apparatus adjusts a size of the virtual zone based on the level.

Abstract: A vehicle platoon control system performs techniques for controlling a platoon of vehicles through an intersection. The platoon of vehicles is controlled through receiving location data for at least a first vehicle of the platoon of vehicles, map matching the location data for the first vehicle to a road network, identifying an intersection in the road network in response to the matched location data, determining a time period for the intersection, calculating a distance to the intersection for a second vehicle of the platoon of vehicles, calculating a travel time based on the distance to the intersection for the second vehicle of the platoon of vehicles, performing a comparison of the time period for the intersection to the travel time for the second vehicle, and generating a platoon command in response to the comparison.

Abstract: A method, apparatus, and computer program product are provided for dynamically detecting pedestrian activity. The method includes receiving one or more data objects from a vehicle. The one or more data objects may be processed using an image processing model to determine one or more pedestrian parameters. The method further includes determining whether the one or more pedestrian parameters satisfy one or more pedestrian parameter thresholds. In an instance the one or more pedestrian parameters do not satisfy the one or more pedestrian parameter thresholds, the method further includes causing a safety alert warning to be provided to one or more other vehicles. Corresponding apparatuses and computer program products are also provided.

Abstract: One or more processors obtain an indication of user input identifying a position of a mobile device within a vehicle. The processor(s) obtain a location of the mobile device with respect to a coordinate system that is independent of the vehicle. The processor(s) determine a location of the vehicle with respect to the coordinate system based at least in part on the location of the mobile device and the identified position of the mobile device within the vehicle. The location of the vehicle with respect to the coordinate system may be determined to sub-meter accuracy.

Abstract: Provided herein is a method of generating low bandwidth map format agnostic routes between origins and destinations for route communication between different map formats or versions using reduced bandwidth.

Abstract: An approach is provided for providing an isoline map of a time to park at a destination. A routing platform computes the time to park at a destination of a navigation route, wherein the time to park represents an estimated time that is needed for a vehicle to park within a geographic area surrounding the destination. The routing platform further determines an isoline that delineates a boundary of the geographic area, wherein the isoline indicates an extent of the geographic area in which the time to park applies. The routing platform further provide data to generate a user interface depicting a representation of the isoline in the time to park isoline map.

Abstract: Disclosed is an approach for automatic detection of entrance(s). In particular, processor(s) could have access to counter data arranged to maintain counters that each respectively represent a count of how many times GNSS service has been obtained or lost in a respective one of a plurality of sub-areas. Given this, the processor(s) could detect a GNSS state change corresponding to an instance of GNSS service being obtained or lost in a particular sub-area and could responsively increment the respective counter associated with the particular sub-area. In turn, the processor(s) could make a determination that the respective counter is representing a count that is greater than other count(s) represented by counter(s) associated with other sub-area(s). And based at least on this determination, the processor(s) could deem the particular sub-area to include an entrance, thereby resulting in detection of the entrance.

Abstract: A method, system, and computer readable storage medium are provided for predicting behavior of a vehicle. More specifically, image data of the vehicle is obtained by generating class prediction data for the vehicle and then identifying one or more related points of interest. The method, system, and computer readable storage medium then predict the behavior of the vehicle based upon the one or more points of interest and the class prediction data.

Abstract: An apparatus, method and computer program product are provided for providing trailer sway detection. In one example, the apparatus receives sensor data and determines a pitch angle of a trailer based on the sensor data. The apparatus further determines a confidence of trailer sway occurring based on the pitch angle and in response to the confidence exceeding a threshold, the apparatus generates a warning signal indicating a potential trailer sway.

Abstract: Route information data records are received from a navigation system indicating road elements and maneuvers between a starting point and a destination point. An estimated time of arrival is established using the route information data records. A personalized correction value based on the road elements, maneuvers, and a driver profile is determined. A personalized time of arrival is calculated based on the estimated time of arrival value and the personalized correction value.

Abstract: A method is provided that includes: receiving a plurality of estimated position points, each estimated position point including a timestamp, where each estimated position point is an estimate of a position of a vehicle at a time respective timestamp; receiving on or more path events, where each of the one or more path events includes a timestamp and data from at least one sensor of the vehicle; generating a path from the plurality of estimated position points, where the estimated position points are arranged in order of ascending time represented by the respective timestamp; and interpolating between two of the estimated position points to determine a location corresponding to one of the one or more path events, where the timestamp of the one of the one or more path event corresponds to a time that is between the times represented by the timestamps of the two estimated position points.

Abstract: Information corresponding to one or more traversable map elements (TMEs) within a zone of interest is accessed from the geographic database. A respective category of a plurality of categories is determined for each of the one or more TMEs based at least in part on the information corresponding to the TME. A first category encoding data structure is generated based at least in part on map version agnostic identifiers corresponding to TMEs determined to be in a first category of the plurality of categories, wherein the first category encoding data structure is a probabilistic data structure configured to not provide false negatives for TMEs within the zone of interest. The first category encoding data structure is provided such that a mobile apparatus receives the first category encoding data structure.

Abstract: An approach is provided for confirming road vector geometry based on aerial image(s). For example, the approach involves retrieving a feature and a vector representation of a road link. The approach also involves processing one or more aerial images depicting the road link to extract a list of spectral pixel values corresponding to the vector representation. The approach further involves determining a degree of misalignment between the spectral pixel values and a spectral signature of the feature of the road link. The approach further involves initiating a confirmation of a geometry of the vector representation based on the degree of misalignment. The approach further involves providing the confirmation as an output.

Abstract: A method, apparatus and computer program product are provided for warping a perspective image into the ground plane using a homography transformation to estimate a bird's eye view in real time. Methods may include: receiving first sensor data from a first vehicle traveling along a road segment in an environment, where the first sensor data includes perspective image data of the environment, and where the first sensor data includes a location and a heading; retrieving a satellite image associated with the location and heading; applying a deep neural network to regress a bird's eye view image from the perspective image data; applying a Generative Adversarial Network (GAN) to the regressed bird's eye view image using the satellite image as a target of the GAN to obtain a stabilized bird's eye view image; and deriving values of a homography matrix between the sensor data and the established bird's eye view image.

Abstract: An approach is provided for automatically verifying a road closure report. The approach, for example, involves determining one or more features of probe data collected from a plurality of vehicles traveling on a connected set of road links of a closure link graph. The closure link graph, for instance, comprises a road link indicated by the road closure report, one or more upstream links from the road link, one or more downstream links from the road link, or a combination thereof. The approach also involves evaluating a closure probability of the road link indicated by the road closure report based on the one or more features. The road closure report is then automatically verified based on the closure probability.

Abstract: A method is disclosed that includes associating an identifying information indicative of an item to be tracked from a first device to a second device. The method also includes assigning a master/slave information indicative of a responsibility that the first device and/or the second device is in charge of tracking the item from the first device to the second device. The method further includes determining a position estimate indicative of a position of the item to be tracked based at least partially on the identifying information and the master/slave information. The first device is directly related to the item to be tracked, and the second device is not directly to the item to be tracked. An apparatus, a tangible computer-readable medium and a system are also disclosed.

Abstract: An approach is provided for combining location data sources. The approach, for instance, involves generating a first context-aware vector representation of a first location entity in a first data source and a second context-aware vector representation of a second location entity in a second data source. The approach also comprises processing the first context-aware vector representation and the second context-aware vector representation using a machine learning model to perform a classification of the first location entity as the same as the second location entity. The approach further comprises combining the first data source and the data source into a new database based on the classification and providing the new database as an output.

Abstract: A method, apparatus and computer program product are provided for generating a transition variability index related to autonomous driving. In this regard, a first transition variability index is calculated. The first transition variability index is indicative of a first degree of variability in relation to transition of vehicles from respective autonomous levels while traveling proximate a first spatial reference point. Furthermore, a second transition variability index is generated. The second transition variability index is indicative of a second degree of variability in relation to transition of vehicles from respective autonomous levels while traveling along proximate a second spatial reference point. Updating of transition data associated with one of the first and second spatial reference points relative to another one of the first and second spatial reference points is then prioritized based on a comparison between the first transition variability index and the second transition variability index.

Abstract: An approach is provided for using a machine learning model for identifying planar region(s) in an image. The approach involves, for example, determining the model for performing image segmentation. The model comprises at least: a trainable filter that convolves the image to generate an input volume comprising a projection of the image at different resolution scales; and feature(s) to identify image region(s) having a texture within a similarity threshold. The approach also involves processing the image using the model by generating the input volume from the image using the trainable filter and extracting the feature(s) from the input volume to determine the region(s) having the texture. The approach further involves determining the planar region(s) by clustering the image regions. The approach further involves generating a planar mask based on the planar region(s). The approach further involves providing the planar mask as an output of the image segmentation.