Abstract: A method where one or more objects of a three-dimensional scene are determined in accordance with provided raw data of the three-dimensional scene representing a predefined environment inside and/or outside the vehicle. A two-dimensional image is determined in accordance with the provided raw data of the three-dimensional scene such that the two-dimensional image depicts the determined objects of the three-dimensional scene on a curved plane. The two-dimensional image has a quantity of pixels, each representing at least one part or several of the determined objects of the three-dimensional scene. Data is provided which represents at least one determined field of view of the driver. For at least one of the determined objects, the probability with which the at least one object will be located in the field of view of the driver is determined in accordance with the provided data and the two-dimensional image.

Abstract: A method determines a blockage of a sensor of a plurality of sensors of an ego vehicle. The method determines a prior blockage probability of the sensor of the plurality of sensors; receives sensor data of the sensor of the plurality of sensors; determines a performance of the sensor based on the received sensor data; calculates a posterior blockage probability based on the prior blockage probability of the sensor and the performance of the sensor; and determines the blockage of the sensors using the calculated posterior blockage probability.

Abstract: A main computing device integrated into a vehicle may perform various aspects of the techniques described in this disclosure. The main computing device comprises a memory and a processor. The memory may store a first and second instance of a runtime environment. The processor may execute a first container that enables execution of a first instance of the runtime environment, and execute a second container that enables execution of a second instance of the runtime environment. The first instance of the runtime environment may detect a supporting computing device, transfer, responsive to detecting the supporting computing device, the second container to the supporting computing device, and interface with the second instance of the runtime environment to jointly present the user interface by which the operator of the vehicle controls the functionality of the vehicle.

Abstract: In general, techniques are described by which to provide streaming via a hardware abstraction layer. A cartridge comprising a memory, and a processor may be configured to perform the techniques. The processor may execute a second version of an operating system, and receive a stream, via an interface and to a first version of the operating system executing on a processor of a head unit of a vehicle, information relating to an application executing in the application layer exposed by the first version of the operating system. The information relating to the application may include a first function call that conforms with the first version of the operating system, where the cartridge is communicatively coupled to the head unit. The interface may transform the first function call to a second function call that conforms with the second version of the operating system.

Abstract: In general techniques are described by which to provide switchable communication transport for communication between primary devices and vehicle head units. A primary device comprising a memory and a processor may be configured to perform the techniques. The memory may store an operating system and an application. The processor may execute the operating system to present a single communication interface by which the application establishes a first transport between the primary device and a vehicle head unit that facilitates execution of a mode in which the application provides data for presentation by the vehicle head unit. The processor may also execute the application to transmit, during execution of the mode, the data via the first transport, where the operating system switches, during execution of the mode, from the first transport to a second transport. The application transmits, during execution of the mode, the data via the second transport.

Abstract: A method evaluates a degree of fatigue of a vehicle occupant in a vehicle. A number of first fatigue indicators is provided which are determined according to computation rules from a plurality of first sensor values and each represent a degree of fatigue of the vehicle occupant. The first sensor values represent measured values of the vehicle and/or measured values relating to a current journey. A first metadata record is associated with each of the number of first fatigue indicators, wherein the first metadata records represent information about the characteristics of the sensors. The first sensor values are processed in the respective first fatigue indicators. A number of second fatigue indicators is provided which are determined according to computation rules from one or more second sensor values and each represent a degree of fatigue of the vehicle occupant. The second sensor values represent physiological and/or physical parameters of the vehicle occupants.

Abstract: A main computing device integrated into a vehicle may perform various aspects of the techniques described in this disclosure. The main computing device comprises a memory and a processor. The memory may store a first and second instance of a runtime environment. The processor may execute a first container that enables execution of a first instance of the runtime environment, and execute a second container that enables execution of a second instance of the runtime environment. The first instance of the runtime environment may detect a supporting computing device, transfer, responsive to detecting the supporting computing device, the second container to the supporting computing device, and interface with the second instance of the runtime environment to jointly present the user interface by which the operator of the vehicle controls the functionality of the vehicle.

Abstract: A main computing device integrated into a vehicle may perform various aspects of the techniques described in this disclosure. The main computing device comprises a memory and a processor. The memory may store a first and second instance of a runtime environment. The processor may execute a first container that enables execution of a first instance of the runtime environment, and execute a second container that enables execution of a second instance of the runtime environment. The first instance of the runtime environment may detect a supporting computing device, transfer, responsive to detecting the supporting computing device, the second container to the supporting computing device, and interface with the second instance of the runtime environment to jointly present the user interface by which the operator of the vehicle controls the functionality of the vehicle.

Abstract: In general techniques are described by which to provide switchable communication transport for communication between primary devices and vehicle head units. A primary device comprising a memory and a processor may be configured to perform the techniques. The memory may store an operating system and an application. The processor may execute the operating system to present a single communication interface by which the application establishes a first transport between the primary device and a vehicle head unit that facilitates execution of a mode in which the application provides data for presentation by the vehicle head unit. The processor may also execute the application to transmit, during execution of the mode, the data via the first transport, where the operating system switches, during execution of the mode, from the first transport to a second transport. The application transmits, during execution of the mode, the data via the second transport.

Abstract: A main computing device integrated into a vehicle may perform various aspects of the techniques described in this disclosure. The main computing device comprises a memory and a processor. The memory may store a first and second instance of a runtime environment. The processor may execute a first container that enables execution of a first instance of the runtime environment, and execute a second container that enables execution of a second instance of the runtime environment. The first instance of the runtime environment may detect a supporting computing device, transfer, responsive to detecting the supporting computing device, the second container to the supporting computing device, and interface with the second instance of the runtime environment to jointly present the user interface by which the operator of the vehicle controls the functionality of the vehicle.

Abstract: A system and method for text-to-speech performance evaluation are provided. The method (100) for text-to-speech performance evaluation includes providing a plurality of speech samples and scores associated with the respective speech samples (110); extracting acoustic features that influence the associated scores of the respective speech samples from the respective speech samples (120); training a machine learning model by the acoustic features and corresponding scores (130); and evaluating a text-to-speech engine by the trained machine learning model (140).

Abstract: A method determines a blockage of a sensor of a plurality of sensors of an ego vehicle. The method determines a prior blockage probability of the sensor of the plurality of sensors; receives sensor data of the sensor of the plurality of sensors; determines a performance of the sensor based on the received sensor data; calculates a posterior blockage probability based on the prior blockage probability of the sensor and the performance of the sensor; and determines the blockage of the sensors using the calculated posterior blockage probability.

Abstract: A method where one or more objects of a three-dimensional scene are determined in accordance with provided raw data of the three-dimensional scene representing a predefined environment inside and/or outside the vehicle. A two-dimensional image is determined in accordance with the provided raw data of the three-dimensional scene such that the two-dimensional image depicts the determined objects of the three-dimensional scene on a curved plane. The two-dimensional image has a quantity of pixels, each representing at least one part or several of the determined objects of the three-dimensional scene. Data is provided which represents at least one determined field of view of the driver. For at least one of the determined objects, the probability with which the at least one object will be located in the field of view of the driver is determined in accordance with the provided data and the two-dimensional image.

Abstract: A method evaluates a degree of fatigue of a vehicle occupant in a vehicle. A number of first fatigue indicators is provided which are determined according to computation rules from a plurality of first sensor values and each represent a degree of fatigue of the vehicle occupant. The first sensor values represent measured values of the vehicle and/or measured values relating to a current journey. A first metadata record is associated with each of the number of first fatigue indicators, wherein the first metadata records represent information about the characteristics of the sensors. The first sensor values are processed in the respective first fatigue indicators. A number of second fatigue indicators is provided which are determined according to computation rules from one or more second sensor values and each represent a degree of fatigue of the vehicle occupant. The second sensor values represent physiological and/or physical parameters of the vehicle occupants.

Abstract: A method and an apparatus are provided for representing a map element and for locating a vehicle/robot based thereupon. The method for representing a map element includes: generating a Gaussian Mixture Model for the map element; generating a signature for identifying the map element, wherein the signature includes properties of the map element; and generating a Signatured Gaussian Mixture Model for representing the map element, wherein the Signatured Gaussian Mixture Model includes the Gaussian Mixture Model and the signature.

Abstract: A system and method for text-to-speech performance evaluation are provided. The method (100) for text-to-speech performance evaluation includes providing a plurality of speech samples and scores associated with the respective speech samples (110); extracting acoustic features that influence the associated scores of the respective speech samples from the respective speech samples (120); training a machine learning model by the acoustic features and corresponding scores (130); and evaluating a text-to-speech engine by the trained machine learning model (140).

Abstract: A computer implemented method for recommending car/passenger resources for a user includes extracting a trip including a start and a destination from location data of the user, wherein paths with the same start and the same destination are clustered into one trip, and generating time information corresponding to the trip, according to time data corresponding to the paths clustered into the trip, wherein the time information includes a range of departure time. The method includes calculating a frequency of occurrences for one trip within a predetermined time period as a habit value of the trip for the user. The trip, including the start and the destination, the time information corresponding to the trip, the habit value of the trip, and transport modality information indicating the user as a driver or a passenger, are combined to generate mobility habit data for the user.

Abstract: A process is provided for operating a route acquisition system, configured for determining route data during movement of the route acquisition system along preset routes, and for storing the latter as electronic routes in the data memory. A preset selection of routes is determined as a function of the stored electronic routes. For each route of the preset selection, a route count and a route point in time, and a first and a second route time indication, are determined. A route evaluation is determined for each route based on the assigned route count, the assigned route point in time, and the first and second route time indication. As a function of a determined size of the occupied storage space of the data memory, the respective route of the preset selection is deleted from the data memory as a function of its assigned route evaluation.

Abstract: A method and an apparatus are provided for representing a map element and for locating a vehicle/robot based thereupon. The method for representing a map element includes: generating a Gaussian Mixture Model for the map element; generating a signature for identifying the map element, wherein the signature includes properties of the map element; and generating a Signatured Gaussian Mixture Model for representing the map element, wherein the Signatured Gaussian Mixture Model includes the Gaussian Mixture Model and the signature.

Abstract: A method to facilitate automatic arrangement on a user's journey to a service in queue includes receiving information regarding a queuing condition and a travelling condition. A knowledge database with historical data may be generated from the received information. The historical data may respectively comprises statistical data regarding the queuing condition and the travelling condition associated with specified times or time periods. An estimated time of departure for the user is determined based on the historical data and/or real-time information available in the received information. Then the user can be notified of the determined estimated time of departure. It may save the user's efforts to check the time of departure by using separate tools, thus reducing the inconvenience and improving the user's experience of service.