Here Global B.v.

Nokia Technologies Oy

Nokia Corporation

Here Glboal B.v.

Jerome Beaurepaire

Leon Stenneth

Jeremy Michael Young

Marko Tapio Tuukkanen

Sven Krome

Jens Unger

Philippe Beaurepaire

Ari Aarnio

Amarnath Nayak

Lauri Aarne Johannes Wirola

Nicolas Neubauer

Maguy Jamain

Olivier Dousse

Dmitry Koval

Francesco Grani

Aaron Rincover

Jarmo Kemppainen

Vasileios Bosdelekidis

Eckhart Köppen

Gianpietro Battistutti

Wiebke Hurrelmann-Wieding

Richa Menke

Basel Hashisho

Joachim Meister

Jens Von Lindequist

Eckhart Koppen

Mirko Konig

Daniel Kraus

Johannes Lauer

Andre Kuhn

Juan Lablanca

Andre Fialho

David Falla-Cepeda

Stephan Kosmella

Andreas Graf

Virva Emila Auvinen

Tiitus Hiltunen

Michele Velastri

Huib Kalb

Sjoerd Spaargaren

Sigrid Van Veen

Kiranmayee Mhetre

Uwa Okonkwo

Jarmo Juhani Kemppainen

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 apparatus, method and computer program product are provided for determining a newly established vehicle-related rule within an area. In one example, the apparatus receives sensor data indicating attributes of an area for a first period. The attributes indicate a number of vehicle-related tickets issued within the area, a parking orientation of each vehicle within the area, or a combination thereof. The apparatus compares the sensor data to historical data associated with the area. The historical data indicate the attributes of the area for one or more second periods preceding the first period. Based on comparison of the sensor data and the historical data, the apparatus determines a likelihood of a vehicle-related rule established for the area, where the vehicle-related rule did not exist during the one or more second periods. The apparatus causes a notification indicating the likelihood at a user interface.

Apparatus and methods determining a newly established vehicle-related rule within an area

An apparatus, method and computer program product are provided for providing autonomous vehicle navigation at intersections. In one example, the apparatus identifies an intersection associated with at least two road signs having the same sign type and facing the same direction. The apparatus updates map data to include a datapoint that provides a representation of a single road sign at the intersection instead of the at least two road signs, thereby enabling an autonomous vehicle relying on the map data to traverse the intersection to adhere to the single road sign in lieu of the at least two road signs.

Apparatus and methods for providing autonomous vehicle navigation at intersections

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

An approach is provided for creating a LiDAR path signature. The approach involves, for instance, receiving a plurality of Light Detection and Ranging (LiDAR) scans captured by a LiDAR sensor of a portable device as the portable device travels on a path through an environment. The approach also involves processing the plurality of LiDAR scans to generate a LiDAR path signature that is representative of the path of the portable device through the environment. The approach further involves providing the LiDAR path signature as an output.

Method, apparatus, and system for providing a LiDAR path signature

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

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.

Apparatus and methods for detecting trailer sway

A system to assist an owner of a low-profile vehicle to avoid damages related to vehicle impact upon a raised feature of a road is disclosed. The system may be configured to obtain one or more locations of a vehicle impact upon the raised feature by detecting an occurrence of the vehicle impact and recording contextual factors related to the vehicle impact upon the raised feature, where the one or more obtained locations are clustered into a first location bucket defined by a manual detection of the vehicle impact and a second location bucket defined by an automatic detection of the vehicle impact. The locations may be map-matched to map locations. The system may cluster the map-matched locations and automatically predict, using a trained machine learning model trained on ground truth of a region, potential locations of vehicle impact relevant to the owner of the low-profile vehicle.

Method to support low-profile vehicles

System and methods for determining traffic violation hotspots based on roadway feature and/or sensor data. Traffic violation hotspots include, for example areas where traffic violations are more likely to occur such as traffic light jumping, wrong way driving, over speeding, not wearing seatbelt, avoiding stop signs and red lights, distracted driving, passing other vehicles in a no-passing zone, among others. Embodiments further provide predictions for traffic accidents hotspots based on the presence or absence of the traffic violation hotspots.

Determining traffic violation hotspots

An approach for detecting LIDAR blind spots in parking garages. This approach may comprise receiving floor layout data of a parking garage and, based on the received floor layout data, determining at least one additional floor layout data for a floor of a parking garage. The determined floor layout data may include LIDAR blind spot data based on clusters of similarly laid out floors.

Systems and methods for detecting and mapping LIDAR blind spots in parking garages

A method, apparatus, and computer program product are therefore provided for emulating vehicle features of a first vehicle in a second vehicle having different features. Methods may include: receiving an indication of a user operating an unfamiliar vehicle; determining vehicle features familiar to the user; and providing emulation of one or more features of the vehicle features familiar to the user in the unfamiliar vehicle. According to some embodiments, the vehicle features familiar to the user are determined based on one or more vehicles familiar to the user. According to certain embodiments, vehicle features familiar to the user include one or more of vehicle size, vehicle performance, or vehicle autonomy level.

Method, apparatus and computer program product for vehicle feature emulation

Systems and methods for determining a route for mood improvement are provided. For example, a method of determining a route for mood improvement includes determining a mood of an individual. The method also includes receiving a destination as an input. The method also includes determining a route from a current location of the individual to the destination via a plurality of road segments for improving the mood of the individual.

Systems and methods for determining a route for mood improvement

A system, a method and a computer program product are provided to predict vehicle parking bunching in a geographic region. For example, the system is configured to obtain a plurality of contextual features and/or a plurality of sensor data related to parking information in the geographic region. The system is configured to predict a vehicle parking bunching based on a vehicle unparking threshold, a vehicle separation distance cluster threshold and/or unparking vehicle information. The system may also be configured to alert a vehicle of the vehicle parking bunching with a vehicle parking bunching notification.

System to predict vehicle parking bunching

An approach is provided for presenting a feedforward cue in a user interface before an upcoming vehicle event occurs. The approach involves retrieving map data covering an upcoming area in which a vehicle is to travel. The approach also involves extracting a feedforward cue from the map data, wherein the feedforward cue preemptively indicates an upcoming vehicle event that can have an effect on an experience that a user has while engaged in a non-driving activity in the vehicle. The approach further involves providing data for presenting the feedforward cue in a user interface before the upcoming vehicle event occurs.

Method and apparatus for presenting a feedforward cue in a user interface before an upcoming vehicle event occurs

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

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Nantes, France

Jerome Beaurepaire