Abstract: A system for correlating sensor data in a vehicle includes a first sensor disposed on the vehicle to detect a plurality of first objects. A first object identification controller analyzes the first data stream, identifies the first objects, and determines first characteristics associated therewith. A second sensor disposed on the vehicle detects a plurality of second objects. A second object identification controller analyzes the second data stream, identifies the second objects, and determines second characteristics associated therewith. A model generator includes a plausibility voter to generate an environmental model of the objects existing in space around the vehicle. The model generator may use ASIL decomposition to provide a higher ASIL level than that of any of the sensors or object identification controllers alone. Matchings between uncertain objects are accommodated using matching distance probability functions and a distance-probability voter. A method of operation is also provided.

Abstract: A system for correlating sensor data in a vehicle includes a first sensor disposed on the vehicle to detect a plurality of first objects. A first object identification controller analyzes the first data stream, identifies the first objects, and determines first characteristics associated therewith. A second sensor disposed on the vehicle detects a plurality of second objects. A second object identification controller analyzes the second data stream, identifies the second objects, and determines second characteristics associated therewith. A model generator includes a plausibility voter to generate an environmental model of the objects existing in space around the vehicle. The model generator may use ASIL decomposition to provide a higher ASIL level than that of any of the sensors or object identification controllers alone. Matchings between uncertain objects are accommodated using matching distance probability functions and a distance-probability voter. A method of operation is also provided.

Abstract: Disclosed herein are systems, methods, and devices for optimally performing object identification employing a neural network (NN), for example a convolutional neural network (CNN). The aspects disclosed herein employ audio data captured by one or more microphones in to at least identify an object, or augment image capturing to perform the same. The audio data and the image data are each propagated to the NN, to perform object identification.

Abstract: A navigation system determines one or more routes for a user from one location to another. The navigation system uses model data or information about weather, date, or time to determine an optimal route for a user. The navigation system may consider user preferences and dangerous or awkward conditions or criteria, and may perform a cost value analysis in determining the optimal route for a user.

Abstract: Methods are provided for determining an energy optimized route for a vehicle. In one example, the method includes providing a plurality of cost factors, each cost factor influencing the energy consumption of the vehicle. At least one cost factor is selected from among the cost factors. A composite cost factor is determined using the selected at least one cost factor. An energy optimized route is then determined based on the composite cost factor. Systems are also provided for determining an energy optimized route for a vehicle. An example system includes a set of cost factors, each cost factor influencing the energy consumption of the vehicle. A classification unit is included for selecting cost factors for the route and for including the selected cost factors in a composite cost factor for the route. A calculator is also included for calculating the energy optimized route based on the composite cost factor.

Abstract: A navigation system determines one or more routes for a user from one location to another. The navigation system uses model data or information about weather, date, or time to determine an optimal route for a user. The navigation system may consider user preferences and dangerous or awkward conditions or criteria, and may perform a cost value analysis in determining the optimal route for a user.

Abstract: Methods are provided for determining an energy optimized route for a vehicle. In one example, the method includes providing a plurality of cost factors, each cost factor influencing the energy consumption of the vehicle. At least one cost factor is selected from among the cost factors. A composite cost factor is determined using the selected at least one cost factor. An energy optimized route is then determined based on the composite cost factor. Systems are also provided for determining an energy optimized route for a vehicle. An example system includes a set of cost factors, each cost factor influencing the energy consumption of the vehicle. A classification unit is included for selecting cost factors for the route and for including the selected cost factors in a composite cost factor for the route. A calculator is also included for calculating the energy optimized route based on the composite cost factor.

Abstract: The described navigation system makes use of the attribute pertaining to the existence of “preferred directions,” in particular, inside multi-story car parks. These preferred directions are not limited to a plane or to an orientation. Preferred directions are, in particular, longer entry and exit paths. The method detects a departure from the digitized area and then determines a preferred direction that is defined as a principle axis or a principle axis direction. When traveling within the non-digitized area, e.g. of a multi-story car park, the system monitors whether the vehicle moves within a predetermined limit of the previously defined principle axis direction. If this is the case, it is determined whether a deviation exists and this deviation is optionally corrected to conform with the principle axis direction. This enables compensation of errors that are caused, in particular, by the direction detection.

Abstract: The invention relates to a method and an assembly for accumulating combined positional information for a system, in which for predetermined instants first and second respective positional information of a system are determined, using a first and a second position determination system. Respective error information for at least one part of the predetermined instants is determined using the first and second positional information. The error information is used to determine a measure for a statistical dependency between the respective error information, and said measure for a statistical dependency is used to determine the combined positional information.

Abstract: The described navigation system makes use of the attribute pertaining to the existence of “preferred directions,” in particular, inside multi-story car parks. These preferred directions are not limited to a plane or to an orientation. Preferred directions are, in particular, longer entry and exit paths. The method detects a departure from the digitized area and then determines a preferred direction that is defined as a principle axis or a principle axis direction. When traveling within the non-digitized area, e.g. of a multi-story car park, the system monitors whether the vehicle moves within a predetermined limit of the previously defined principle axis direction. If this is the case, it is determined whether a deviation exists and this deviation is optionally corrected to conform with the principle axis direction. This enables compensation of errors that are caused, in particular, by the direction detection.

Abstract: A method for calibrating an angle sensor ascertains an output signal for a zero point and measures an associated operating temperature. The output signal and a reference signal stored for the operating temperature are used to form a new reference signal. A navigation system equipped with a temperature sensor for measuring the operating temperature of the angle sensor and with a memory for storing reference signals is also provided. The calibration method and the navigation system substantially eliminate angle sensor measurement errors attributed to temperature influences.

Abstract: A method for calibrating an angle sensor ascertains an output signal for a zero point and measures an associated operating temperature. The output signal and a reference signal stored for the operating temperature are used to form a new reference signal. A navigation system equipped with a temperature sensor for measuring the operating temperature of the angle sensor and with a memory for storing reference signals is also provided. The calibration method and the navigation system substantially eliminate angle sensor measurement errors attributed to temperature influences.

Abstract: The navigation device and the corresponding method for position determination utilize dead reckoning. A position is calculated by a processor on the basis of measured values from a distance sensor and a direction sensor. The measured values are compared with a probable position on a stored digital road map. The deviation between the calculated position and the corresponding position on the digitized road map can be saved. Saved deviations form the basis of a correction value with which the calculated position can be corrected.

Abstract: A navigation system utilizes a digitized road network stored in a non-volatile memory and determines therefrom a travel route from a starting point to a destination point. A partial route is calculated from the starting point to an intermediate destination point and maneuvers for this partial route are generated and output to the user in order to guide the user even before the complete route to the destination point has been fully calculated. When a complete route from the starting point to the destination point has been calculated, the calculated complete route is overlapped with the partial route to define an intersection point between the two routes. The proposed maneuvers for that complete route are then output beginning from the intersection point.