HERE GLOBAL B.V.

Systems and methods for determining a cause of a change in driver assistance capability may be based on probe data generated by a mobile device or vehicle. The probe data is matched to a path segment. A cause of the change in driver assistance capability for the path segment is determined based on the probe data matched to the path segment. A geographic database record including the cause of the change in the driver assistance capability is output.

System and methods enable vehicles to make ethical/empathetic driving decisions by using deep learning aided location intelligence. The systems and methods identify moral islands/complex driving scenarios where a complex ethical decision is required. A Generative Adversarial Network (GAN) is used to generate synthetic training data to capture varied ethically complex driving situations. Embodiments train a deep learning model (ETHNET) that is configured to output one or more driving decisions to be taken when a vehicle comes across an ethically complex driving situations in the real world.

An apparatus obtains instances of positioning quality information comprising respective position estimates, respective positioning approach indicators, and respective characteristics of the respective position estimates. The apparatus partitions the instances of positioning quality information into a plurality of groups, where each group corresponds to a geographic area, and partitions the instances of each group into clusters corresponding to positioning approaches. For each respective cluster of each respective group, the apparatus determines a respective positioning index based at least in part on respective characteristics of the respective instances of positioning quality information assigned to the respective cluster. The apparatus provides at least one instance of positioning index information, such that performance of a positioning and/or navigation-related function for a mobile apparatus may be controlled at least in part by the instance of positioning index information.

A system, a method, and a computer program product may be provided for determining a rooftop type. The system may be configured to obtain location information associated with a UAV, and obtain a first set of images and building data associated with a building in proximity of the UAV based on the location information. The system is configured to extract a set of rooftop features for a rooftop of the building using the first set of images and the building data. The set of rooftop features comprises at least a rooftop type and a durability parameter for the rooftop. The system is configured to store the set of rooftop features in conjunction with the building data for the building in a map database.

Disclosed is an approach for improved radio and/or altitude data collection in the context of a positioning system. In particular, processor(s) could execute a first phase of the collection process, which may involve collection of data only in seed area(s) associated with generation of an initial map as well as setting forth guidance, via a user interface of a mobile device, to collect data only in the seed area(s). And when the processor(s) detect a trigger to end the first phase, the processor(s) could responsively execute a second phase of the process, which may involve collection of data in secondary area(s) associated with generation of an updated map as well as setting forth guidance, via the user interface, (i) to collect data in the secondary area(s) and (ii) to visit seed area(s) and/or other area(s) that are deemed to be ready.

A method, apparatus, and computer program product are provided for using aerial imagery to identify and distinguish fluid leaks from objects, structures, and shadows in aerial imagery. A method may include: receiving an aerial image of a geographic region; identifying objects within the aerial image; determining shadow areas associated with the objects within the aerial image; determining whether areas exist contiguous with the shadow areas and extending beyond the shadow areas; identifying one or more fluid leaks in response to areas existing contiguous with the shadow areas and extending beyond the shadow areas; and generating an indication of the one or more fluid leaks including one or more locations of the one or more fluid leaks.

A method, apparatus and computer program product are provided for improving localization of a device. In order to improve the localization, a coarse location of the device is determined and a feature is identified in an image captured by an image capture unit associated with the device. The feature is represented with one or more points or lines within an image plane and a projection is determined of the one or more points or lines from the image plane to a ground plane. At one or more location points defined relative to the coarse location of the device, map data is compared to the projection of the one or more points or lines representative of the feature identified in the image. Based on the comparison, a refined location of the device is determined.

Processors obtain instances of service event data and generate a plurality of territory sets. The processors determine a plurality of respective servicing values based at least in part on the instances of service event data. A respective servicing value is determined for each territory set of the plurality of territory sets. A respective servicing value for a respective territory set is determined based at least in part on at least one path that links the respective service locations located within a particular territory of the territory set on a particular service date. Based on the plurality of respective servicing values, a preferred territory set is identified from the plurality of territory sets. Responsive to determining that the preferred territory set satisfies one or more provision criteria, the processors cause information corresponding to the preferred territory set to be provided.

A system, a method, and a computer program product may be provided for processing event data. For example, event data relating to an occurrence of an event corresponding to a first tile is received, and a first count value associated with the received event data is determined. A threshold count value associated with the event within the first tile is obtained, and dynamic switching between a link-based processing and a tile-based processing is performed, based on a comparison between the first count value and the threshold count value, wherein on determining the first count value to be greater than the threshold count value, the tile-based processing is performed, and on determining the first count value to be lesser than the threshold count value, the link-based processing is performed.

A base station apparatus configured to control operation of a base station causes the base station to perform conical scanning of a mobile apparatus. The base station is configured to communicate via wireless communications using beamforming. A communication session between the base station and the mobile apparatus has been established, and the conical scanning of the mobile apparatus comprises transmitting a tracking beam that rotates about a path centered on a position associated with the mobile apparatus and characterized by a radius. The base station apparatus receives a dynamic state communication indicating a dynamic state of the mobile apparatus; determines, based at least on the dynamic state of the mobile apparatus, a new radius; and causes the base station to perform the conical scanning by transmitting the tracking beam that rotates about the path centered on the position associated with the mobile apparatus and characterized by the new radius.