Here Global B.v.

Nicolas Neubauer

Jerome Beaurepaire

David Falla Cepeda

Jens Unger

Johannes Koblenz

Sebastian Van De Hoef

Daniel Gonzalez

Amol Naik

Jan Niederhumer

Petros Kaplanidis

An apparatus, method and computer program product are provided for predicting events in which drivers render aggressive behaviors while maneuvering vehicles. In one example, the apparatus receives input data indicating a target location and including attribute data associated with the target location. The apparatus causes a machine learning model to generate output data as a function of the input data. The output data indicate a likelihood in which a target driver will render an aggressive behavior at the target location while maneuvering a target vehicle. The machine learning model is trained to generate the output data as a function of the input data by using historical data indicating events in which drivers rendered the aggressive behavior while maneuvering vehicles.

Apparatus and methods for predicting events in which drivers render aggressive behaviors while maneuvering vehicles

An approach is provided for associating an object with a spatial budget. The approach, for example, involves initiating a scan of an object, an available space, or a combination thereof using a sensor to determine a spatial volume of the object, a spatial volume of the available space for a storage or a placement of the object, or a combination thereof. The approach also involves determining a spatial cost of an object based on the spatial volume of the object. The approach further involves determining an available spatial budget based on the spatial volume of an available space. The approach further involves determining a spatial budget for the object based on the spatial cost of the object and the available spatial budget. The approach further involves providing the spatial budget of the object, the spatial cost of the object, the available spatial budget, or a combination thereof as an output.

Method, apparatus, and system for associating an object with a spatial budget

A method, apparatus, and non-transitory computer-readable storage medium for determining an intersection condition are provided. An example embodiment may obtain entity count data of an area comprising an intersection, obtain map feature data of the area comprising the intersection, obtain temporal context data of the area comprising the intersection, and generate an intersection deadlock score based on the entity count data, the map feature data, the temporal context data, or a combination thereof. The generated intersection deadlock score may further be used to provide a prediction of a deadlock condition based on the intersection deadlock score to a traffic application and/or a navigation application.

Method and apparatus for determining an intersection condition

A method, apparatus and computer program product are provided for quantifying public transport coverage. In this regard, for a traveler journey beginning at a starting location, transit time data is determined. The transit time data is indicative of a predicted amount of time to travel between the starting location and a departure location associated with a public transport boarding location for a public transport. Furthermore, waiting time data is determined. The waiting time is indicative of a predicted amount of time to wait at the departure location prior to departure via the public transport. Additionally, time to departure data is computed based on a combination of the transit time data and the waiting time data. For the traveler journey, a time to departure probability prediction is also determined.

Method, apparatus, and computer program product for quantifying public transport coverage

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.

Territory set determination based on historical service event data

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.

Method, apparatus, and system for providing traffic simulations in a smart-city infrastructure

An approach is provided for argumentative navigation routing. The approach involves, for example, determining a recommended route and an alternative route. The approach also involves iteratively presenting one or more justification messages in support of the recommended route until a response is detected from a user that either rejects or accepts the one or more justification messages. The one or more justification messages are selected from among a plurality of argumentative reason classes. The approach further involves determining an accepted argumentative reason class from among the plurality of argumentative reason classes that corresponds to an accepted justification message of the one or more justification messages. The approach further involves prioritizing the accepted argumentative reason class to generate one or more subsequent justification messages in a subsequent argumentative routing interaction.

Method and apparatus for providing argumentative navigation routing

A device with transmitter broadcasts packets including a transmitter identifier via a radio interface with varying timings of transmissions. It determines a current timing of transmissions based on clock signals and a secret code, using a cryptographic function. A mobile device detects radio signals conveying such packets and performs measurements on the signals. It determines a currently used timing of transmissions, assembles a positioning request including the transmitter identifier, results of the measurements and an indication of the timing of transmissions, and transmits the request. A server receives the request. It generates for the transmitter an expected timing of transmissions using a cryptographic function, based on a signal of a master clock and based on a stored secret code assigned to the transmitter. It provides position information as trusted position information only in the case of a match between the indicated and the expected timing of transmissions.

Supporting a secure terrestrial transmitter based positioning

Methods described herein relate to identifying a context of a client, and more particularly, to identifying a context of a client while maintaining data privacy and anonymity. Methods may include: providing a machine learning model to a client; receiving a state vector from the client; determining, based on using the state vector as input to the machine learning model, a representative location of the client; and providing, to the client, location-related services or information based on the representative location of the client. The representative location of the client may include a context vector. The context vector may include an indication of a count of points-of-interest for a respective category of a plurality of categories of points-of-interest. A corresponding apparatus and computer program product are also provided.

Method and apparatus for federated location fingerprinting

A mapping system, computer program product and method provide visualization of the dynamic range of an aircraft. A method may include: receiving map data, where the map data includes a three-dimensional terrain map of a geographic region; determining a location of an aerial vehicle; calculating a plurality of points in a plurality of different direction that can be reached by the aerial vehicle within at least two predetermined increments of energy consumption; and providing for display of a map of the geographic region including an isoline through the plurality of points for each of the at least two predetermined increments of energy consumption representing a dynamic range of the aerial vehicle for the at least two predetermined increments of energy consumption.

Growing community of inventors

Berlin, Germany

Nicolas Neubauer