Abstract: A vehicle having an active chassis system with curve tilting function, comprises a control unit, which when negotiating a curve determines a vehicle tilting angle on the basis of a current vehicle transverse acceleration or a correlated driving operation parameter, by which the vehicle transverse acceleration can be reduced, wherein the control unit uses the vehicle tilting angle so determined to trigger actuators of a suspension/shock absorbing system in order to adjust the vehicle tilting angle. The curve tilting function incorporates a prediction unit which provides the curve negotiation data for an upcoming curve. The vehicle tilting angle is set in consideration of the curve negotiation data.

Abstract: In a method for determining a source of danger on a roadway in a detection area in front of or behind a vehicle with the aid of a camera of the vehicle, an image of the detection area is captured with the aid of the camera, image data corresponding to the image are generated, a first image area of the image is determined with the aid of the image data using a neural network, which first image area corresponds to the roadway in the detection area, and a second image area of the image is determined with the aid of the first image area using the neural network, which second image area corresponds to the source of danger on the roadway in the detection area.

Abstract: Approaches, techniques, and mechanisms are disclosed for large scale vehicle data collaborative analysis. According to one embodiment, a large amount of data streams is received from a multitude of vehicles. A distributed event streaming system is applied to parse the data streams based on an attribute, such as time sensitive data, location-specific data, or vehicle maintenance, operational, or fault-prevention data. A data container platform instance hosts applications that receive the parsed data streams. Output of an application is transformed into data streams having a common topic. Other applications may access the data streams by topic. Upon receiving an indication that an application has processed a data stream by topic, a decision point may be reached and executed by an external application, triggering an action on a vehicle from the multitude of vehicles.

Abstract: A method for operating a control unit of a motor vehicle, wherein a state management module of a runtime environment initiates a standby mode of the runtime environment as a function of a stop request. The invention provides that, as a function of the stop request, the state management module first sends out to at least one application a respective backup request which requests the respective application to store respective predetermined runtime data in a non-volatile data memory, and then, however, if a resume request is subsequently received within a waiting time period, the normal operating mode is continued without the planned switch-over to the standby mode.

Abstract: According to a method for self-localization of a vehicle, a first pose of the vehicle is determined in a map coordinates system, based on environment sensor data representing an environment of the vehicle, a landmark is detected in the environment, a position of the landmark is determined in the map coordinates system and a second pose of the vehicle is determined in the map coordinates system dependent on the position of the landmark. An assignment instruction is consulted, matching up the first pose with at last one preferred sensor type or at least one dominant landmark type. Depending on the assignment instruction, a first environment sensor system is activated and a second environment sensor system is deactivated, whereupon the environment sensor data are generated by means of the first environment sensor system.

Abstract: A method for determining the orientation of a surface of an object in a detection region before or behind a vehicle by means of a camera of the vehicle comprises the following steps: detecting a first image of the detection region by means of the camera, detecting a second image of the detection region following in time on the detecting of the first image and by means of the camera, generating of first image data corresponding to the first image and second image data corresponding to the second image, determining of eight image coordinates of four pixels each in the first image and the second image, corresponding to four points on the surface of the object, by means of the first image data and the second image data, determining of a normal vector of the surface of the object by means of the eight image coordinates, determining of the orientation of the surface of the object by means of the normal vector.

Abstract: A method for controlling an active rear axle steering of a motor vehicle when steering out from straight travel with given actual dynamics of the wheel guidance of the motor vehicle, wherein an actual steering signal of the motor vehicle is received by a control circuit from at least one sensor, then from the actual steering signal a dynamic model of the wheel guidance calculates a time variation of a differential signal describing a deviation of the actual steering signal from an imaginary nominal steering signal which would be needed in order to perform the steering with a given nominal dynamics, and from the differential signal a predetermined conversion rule is used to generate a nominal steering signal for the rear axle steering and the rear axle steering is actuated with this.

Abstract: According to a method for self-localization of a vehicle, a first pose of the vehicle is determined. Environment sensor data are generated by means of an environment sensor device and on the basis of this a landmark is detected in the environment. A position of the landmark is determined and in dependence on this a second pose of the vehicle is determined. A memorized assignment instruction is consulted, matching up the first pose with at last one preferred sensor type or at least one dominant landmark type, and depending on this a first portion of the environment sensor data is selected that was generated by means of a first environment sensor system of the environment sensor device configured according to a first sensor type. For the detecting of the landmark, a first landmark detection algorithm is applied to the first portion of the environment sensor data.

Abstract: A driver assistance method by a control device is to receive driving environmental data from identically constructed motor vehicle sensor technologies of a first motor vehicle, as well as from at least one further motor vehicle, which drive on a set road section in an at least partially autonomous driving mode. Each motor vehicle may provide a road section model for each of the motor vehicles with an algorithm recorded in each respective motor vehicle. The control device examines the road section models and/or the algorithms for a feasibility of the at least partially autonomous driving mode for the first motor vehicle, evaluates the algorithms of each motor vehicle based on a comparison of the road models, and sets that algorithm, which satisfies the set feasibility criterion with the highest probability, as the target algorithm.

Abstract: Disclosed is a parking assistance method for a drive with a motor vehicle. A parking assistance device determines a navigation destination of the drive of the motor vehicle, receives occupancy state data from at least one data source external to the motor vehicle of an availability of free parking spaces at the navigation destination and ascertains at least one location of a free parking space based on the received occupancy state data. The parking assistance device examines whether the navigation destination satisfies a preset criterion, including a minimum probability of a driver-specific favoring and/or frequency, and predetermines an information content for parking space data for the drive depending on whether the navigation destination satisfies the preset favoring criterion. The parking assistance device provides parking space data with the predetermined information content and transfers the provided parking space data to an output device.

Abstract: The application relates to a method for verifying characteristic features of a neural network, comprising obtaining the neural network as well as an identifier assigned to the neural network, determining the characteristic features of the neural network, calculating a first hash code using a predetermined hash function from the characteristic features of the neural network, obtaining a second hash code assigned to the identifier from a secure database, as well as verifying the neural network by comparing the first hash code to the second hash code. The application furthermore comprises a computer software product which can be downloaded to the internal memory of a digital computer and which comprises software code sections with which the steps according to the method described here are carried out when the software is executed on a computer.