Abstract: A method provides a route-specific service to a user of a vehicle. The method includes receiving a set of driven navigation routes of the vehicle, and identifying navigation route clusters using the set of driven navigation routes. The method also includes training a machine learning method using the identified navigation route clusters as training data. The method further includes receiving a characteristic of a current journey of the vehicle, and predicting a probability for each identified navigation route cluster of the vehicle depending on the received characteristic, using the trained machine learning method. A navigation route cluster with the highest predicted probability is identified, and the route-specific service is provided to the user of the vehicle for the current journey if the navigation route cluster with the highest predicted probability has a probability value that exceeds a predetermined threshold.

Abstract: A method for providing a predicted current destination to a user of a vehicle includes receiving a first quantity of destinations of the user for a first period of time, and receiving a first data set of hyperparameters of a machine learning method. The method further includes training the machine learning method with the received hyperparameters using the first quantity of destinations as training data, receiving a second quantity of destinations of the user for a second period of time, predicting destinations and probabilities of the destinations, evaluating the predicted destinations and the probabilities of the predicted destinations from the second quantity of destinations with a cost function.

Abstract: A method for performing a function of a vehicle includes determining a current vehicle location of the vehicle. The method also includes determining a probability of a start of a next journey within a time window for each of a set of time windows depending on the determined current vehicle location. A departure time window is predicted for the start of the next journey, wherein the departure time window for the start of the next journey is a time window of the set of time windows for which the determined probability has the highest value. The method further includes performing the function of the vehicle if the determined probability of the predicted departure time window exceeds a predetermined threshold value.

Abstract: A device and a method for outputting navigation information for a vehicle are provided. Position data, destination data, and parking data containing information relating to at least two parking space positions and the availability of parking spaces at the at least two parking space positions can be provided via an input interface. A data processing device is configured to determine an order in which at least some of the at least two parking space positions should be approached based on the provided position data, destination data and parking data in such a manner that the determined order meets an optimization criterion. The data processing device is also configured to check whether the optimization criterion can be met by waiting at the at least one parking space position or by returning to a parking space position to be approached before the at least one parking space position.

Abstract: A method optimizes a parking space search for a vehicle. During the method, at least one solution option is ascertained, and an optimization solution is ascertained from the at least one solution option, wherein the probability of the availability of at least one parking space is used as an optimization parameter, the position of the at least one parking space relative to a destination is used as an additional optimization parameter, expressed as the duration until the arrival at the destination from the at least one parking space, and the drive duration from a starting location to the at least one parking space is used as an additional optimization parameter.

Abstract: A device and a method for outputting navigation information for a vehicle are provided. Position data, destination data, and parking data containing information relating to at least two parking space positions and the availability of parking spaces at the at least two parking space positions can be provided via an input interface. A data processing device is configured to determine an order in which at least some of the at least two parking space positions should be approached based on the provided position data, destination data and parking data in such a manner that the determined order meets an optimization criterion. The data processing device is also configured to check whether the optimization criterion can be met by waiting at the at least one parking space position or by returning to a parking space position to be approached before the at least one parking space position.

Abstract: Processing position data relating to a vehicle, in order to determine the start of a search for a parking space, includes determining an end position and determining at least one inefficiency value by comparing at least part of a drive with at least one linear distance to the end position, wherein the at least one inefficiency value identifies an inefficiency of the drive. The process further includes determining at least one route inefficiency value based on position data from a map to verify an identified inefficiency for at least one position for which an inefficiency has been identified. Parking space search traffic can then be output, as detected, if there is a route inefficiency.

Abstract: A method automatically detects parking zones in at least one residential street, wherein a) a computing unit is provided; b) information in the form of panoramic images of the at least one residential street is inputted from an external data store; c) information in the form of street data of the at least one residential street is inputted from a map database; d) an internal database is generated, which persists the panoramic images; e) the inputted panoramic images are analyzed for the presence of vehicles; f) the inputted panoramic images are analyzed for the presence of street signs and traffic signs; g) from the analyses of the presence of vehicles and the presence of street signs and traffic signs for at least one selected residential street, expected existing no-parking/no-stopping zones are determined; h) a data set that contains the detected information regarding identified vehicles, street signs, and the markings of no-parking/no-stopping zones and parking zones is generated, and i) the information c

Abstract: A method is provided for processing measurement data of a vehicle in order to determine the start of a search for a parking space. The method is characterized in that an estimate of a parking target point is carried out, that an earliest start of a search for a parking space is determined and that a driving analysis is performed between these two points for determining the start of the search for a parking space using map data. Furthermore, a related computer program product is disclosed.

Abstract: A method optimizes a parking space search for a vehicle. During the method, at least one solution option is ascertained, and an optimization solution is ascertained from the at least one solution option, wherein the probability of the availability of at least one parking space is used as an optimization parameter, the position of the at least one parking space relative to a destination is used as an additional optimization parameter, expressed as the duration until the arrival at the destination from the at least one parking space, and the drive duration from a starting location to the at least one parking space is used as an additional optimization parameter.

Abstract: A method automatically detects parking zones in at least one residential street, wherein a) a computing unit is provided; b) information in the form of panoramic images of the at least one residential street is inputted from an external data store; c) information in the form of street data of the at least one residential street is inputted from a map database; d) an internal database is generated, which persists the panoramic images; e) the inputted panoramic images are analyzed for the presence of vehicles; f) the inputted panoramic images are analyzed for the presence of street signs and traffic signs; g) from the analyses of the presence of vehicles and the presence of street signs and traffic signs for at least one selected residential street, expected existing no-parking/no-stopping zones are determined; h) a data set that contains the detected information regarding identified vehicles, street signs, and the markings of no-parking/no-stopping zones and parking zones is generated, and i) the information c

Abstract: A method is provided for processing measurement data of a vehicle in order to determine the start of a search for a parking space. The method is characterized in that an estimate of a parking target point is carried out, that an earliest start of a search for a parking space is determined and that a driving analysis is performed between these two points for determining the start of the search for a parking space using map data. Furthermore, a related computer program product is disclosed.

Abstract: Processing position data relating to a vehicle, in order to determine the start of a search for a parking space, includes determining an end position and determining at least one inefficiency value by comparing at least part of a drive with at least one linear distance to the end position, wherein the at least one inefficiency value identifies an inefficiency of the drive. The process further includes determining at least one route inefficiency value based on position data from a map to verify an identified inefficiency for at least one position for which an inefficiency has been identified. Parking space search traffic can then be output, as detected, if there is a route inefficiency.

Abstract: A system for online filtering of photovoltaic (PV) output signals includes a programmable filter that is programmed to decompose measured PV output power into an estimated low-frequency signal component, based substantially on movement of the sun and an estimated high-frequency signal component, based substantially on cloud shading. An open loop controller generates a reactive power compensation signal based on at least one of the low-frequency signal component and the high-frequency signal component. The low-frequency signal component is defined by a positive portion of a sine curve that is based substantially on movement of the sun.

Abstract: A reactive power control system is provided. The reactive power control system computes a required value for a reactive power based on a state observer method for at least one electrical element in an electrical system. The reactive power control system also generates a reactive power command based on the required value of the reactive power. The reactive power control system further transmits the reactive power command to the electrical element in the electrical system for generating the required value of reactive power to compensate for a voltage change induced by the respective electrical element in the electrical system.

Abstract: A method for localizing an object moving in an unknown environment. The method includes providing k position marks at undetermined positions p1, p2, . . . , pk that are spaced apart from one another, where {p1, . . . , pk}?, where k is a natural number greater than or equal to 3, and repeatedly measuring the distances between the object and each of the position marks independently of one another at uncontrolled instants, such that distance values {r1, . . . , rn}? are present at instants {t1, . . . , tn}?. The method further includes determining a motion curve x(t)? according to x ? ( t ) = ? i = 1 n ? ? i ? k ? ( t , t i ) , where n represents a number of distance measurements used and each function k(t, ti) is a positively defined kernel function, and where {?1, . . . , ?n}? are coefficient vectors that are estimated using smoothness conditions based on a regularization term formed with the kernel functions.

Abstract: A system for online filtering of photovoltaic (PV) output signals includes a programmable filter that is programmed to decompose measured PV output power into an estimated low-frequency signal component, based substantially on movement of the sun and an estimated high-frequency signal component, based substantially on cloud shading. An open loop controller generates a reactive power compensation signal based on at least one of the low-frequency signal component and the high-frequency signal component. The low-frequency signal component is defined by a positive portion of a sine curve that is based substantially on movement of the sun.

Abstract: A reactive power control system is provided. The reactive power control system computes a required value for a reactive power based on a state observer method for at least one electrical element in an electrical system. The reactive power control system also generates a reactive power command based on the required value of the reactive power.

Abstract: The present invention relates to a method and a device for automatically stacking tires (4) on a support (1). According to the method, geometrical data of the tires (4) and/or a digital model of the tires (4) is provided, based on the geometrical data and/or the tire model and a predefinable size of the support (1), an algorithm calculates a stacking pattern for the tires (4) on the support (1) by taking into account a predefined size of the support, said stacking pattern making it possible to store the largest possible number of tires (4) in a stable manner on the support (1). Positional data of the tires (4) are adopted from the stacking pattern and associated trajectories of a handling device for stacking the tires (4) are generated and stored according to the stacking pattern.

Abstract: A method for localizing an object moving in an unknown environment. The method includes providing k position marks at undetermined positions p1, p2, . . . , pk that are spaced apart from one another, where {p1, . . . , pk}?, where k is a natural number greater than or equal to 3, and repeatedly measuring the distances between the object and each of the position marks independently of one another at uncontrolled instants, such that distance values {r1, . . . , rn}? are present at instants {t1, . . . , tn}?. The method further includes determining a motion curve x(t)? according to x ? ( t ) = ? i = 1 n ? ? i ? k ? ( t , t i ) , where n represents a number of distance measurements used and each function k(t, ti) is a positively defined kernel function, and where {?1, . . . , ?n}? are coefficient vectors that are estimated using smoothness conditions based on a regularization term formed with the kernel functions.