Abstract: The invention relates to a method for operating an assistance system for a vehicle, including a control device for controlling the assistance system, multiple sensors for capturing the environment, a first sensor set which includes at least one sensor of the sensors for capturing the environment, and a second sensor set which includes at least one sensor of the sensors for capturing the environment. The sensor signals of the first sensor set are enlisted in order to create an environmental model, and driving functions of the assistance system are carried out on the basis of the environmental model. A sensor signal path switch is provided which switches the sensor signals of the second sensor set either via a main path to the signal processing of the environmental model or via a safety path to the signal processing of a plausibility check of the planned trajectory.

Abstract: A method for improved surroundings detection utilizing an optical sensor of a vehicle. The method includes detecting the surroundings of the vehicle and compiling a first surroundings model based on sensor data of the surroundings detecting sensor. The method also includes determining regions having low quality in the surroundings model by evaluating optical sensor data with an image evaluation device. The detectability of the regions having low quality are improved by taking a selected measure. The method also includes detecting the surroundings of the vehicle again with the optical sensor and comparing the sensor data of the optical sensor after taking the measure with the sensor data of the optical sensor prior to taking the measure. The sensor data following the measure is fused with the already existing sensor data in order to compile a second surroundings model.

Abstract: A method for planning a driving maneuver trajectory is disclosed. The method includes 1) evaluating a current driving situation; 2) ascertaining an adapted driving maneuver based on the evaluated driving situation; 3) calculating a number of working points of the trajectory on the basis of the evaluated driving situation and the ascertained driving maneuver; 4) discretizing the current surroundings information and/or vehicle information at each of the working points of the trajectory; 5) selecting and integrating relevant surroundings data for each working point based on domain-specific information; 6) linearizing the selected and integrated surroundings data; 7) using the linearized surroundings data to formulate a QP model; 8) solving the QP model by means of a QP solver; and 9) repeating 1) to 8) on the basis of a convergence of the solution, wherein upon repeating steps 1) to 8), the solution of the QP solver is taken into consideration.

Abstract: The invention relates to a method for operating an assistance system for a vehicle, including a control device for controlling the assistance system, multiple sensors for capturing the environment, a first sensor set which includes at least one sensor of the sensors for capturing the environment, and a second sensor set which includes at least one sensor of the sensors for capturing the environment. The sensor signals of the first sensor set are enlisted in order to create an environmental model, and driving functions of the assistance system are carried out on the basis of the environmental model. A sensor signal path switch is provided which switches the sensor signals of the second sensor set either via a main path to the signal processing of the environmental model or via a safety path to the signal processing of a plausibility check of the planned trajectory.

Abstract: Method for planning an at least partially automated driving process by means of a driver assistance system (2) of a vehicle (1).

Abstract: The invention relates to a method for creating a probabilistic free space map with static (2a, 2b, 3) and dynamic objects (V1-V7), having the following steps: retrieving (S1) static objects (2a, 2b, 3) as well as a perception area polygon (WP) from an existing environment model; collecting (S2) predicted trajectories (T1, T2) of dynamic objects (V1-V7); merging (S3) the static objects (2a, 2b, 3) of the perception area polygon (WP) and the predicted trajectories (T1, T2) in a first free space map; fixing (S4) a maximum prediction time; fixing (S5) prediction time steps; fixing (S6) a current prediction time and setting this current prediction time to the value 0 in order to fix the start of a fixed prediction time period; fixing (S7) confidence regions (K) around the static (2a, 2b, 3) and dynamic objects (V1-V7); fixing (S8) at least one uncertain region (U) around at least one static (2a, 2b, 3) or dynamic object (V1-V7); producing (S9) a first probabilistic free space map for the current prediction time

Abstract: A method of controlling a parking process of a vehicle includes the following steps: identifying a driver; learning driver parameters during a manual parking process performed by the driver, and associating the driver parameters with the identified driver; determining parking parameters based on the driver parameters; and controlling, based on the parking parameters, an autonomous parking process of the vehicle performed by a parking assistance system.

Abstract: The invention relates to a parking assistance system for an ego vehicle (1), comprising a control device (2) for controlling a parking procedure, in which the ego vehicle (1) is guided to a target position within a parking space (10), the control device (2) can access sensors for environment detection and, on the basis of the sensor data, can determine a parking space (10) by identifying objects (10a, 11, 12, 13) surrounding the parking space (10), wherein the control device (2) is designed to specify a first minimum distance and a second minimum distance of the ego vehicle (1) from surrounding objects (10a, 11, 12, 13), the control device (2) is furthermore designed to specify, on the basis of the first minimum distance, a first parking region (14) and, on the basis of the second minimum distance, a second parking region (15), and the control device (2) determines the target position by specifying said position within the first and/or the second parking region (14, 15).

Abstract: A method of controlling a parking operation of a vehicle by a parking assista?ce system involves: capturing the position of a vehicle user located close to but outside of the vehicle; determining a provisional target position and a provisional motion path for the vehicle based on a vehicle starting position and the position of the vehicle user; checking whether the provisional target position and/or the motion of the vehicle into the provisional target position along the provisional motion path would cause a collision with the vehicle user; and if a result of the checking is affirmative, then changing the provisional target position and/or the provisional motion path so that no collision with the vehicle user will occur at the changed target position and/or along the changed motion path.

Abstract: The invention relates to a method for creating a probabilistic free space map with static (2a, 2b, 3) and dynamic objects (V1-V7), having the following steps: retrieving (S1) static objects (2a, 2b, 3) as well as a perception area polygon (WP) from an existing environment model; collecting (S2) predicted trajectories (T1, T2) of dynamic objects (V1-V7); merging (S3) the static objects (2a, 2b, 3) of the perception area polygon (WP) and the predicted trajectories (T1, T2) in a first free space map; fixing (S4) a maximum prediction time; fixing (S5) prediction time steps; fixing (S6) a current prediction time and setting this current prediction time to the value 0 in order to fix the start of a fixed prediction time period; fixing (S7) confidence regions (K) around the static (2a, 2b, 3) and dynamic objects (V1-V7); fixing (S8) at least one uncertain region (U) around at least one static (2a, 2b, 3) or dynamic object (V1-V7); producing (S9) a first probabilistic free space map for the current prediction time

Abstract: A method for improved surroundings detection utilizing an optical sensor of a vehicle. The method includes detecting the surroundings of the vehicle and compiling a first surroundings model based on sensor data of the surroundings detecting sensor. The method also includes determining regions having low quality in the surroundings model by evaluating optical sensor data with an image evaluation device. The detectability of the regions having low quality are improved by taking a selected measure. The method also includes detecting the surroundings of the vehicle again with the optical sensor and comparing the sensor data of the optical sensor after taking the measure with the sensor data of the optical sensor prior to taking the measure. The sensor data following the measure is fused with the already existing sensor data in order to compile a second surroundings model.

Abstract: The invention relates to a method for controlling a parking operation of a vehicle (1) by means of a parking assistance system (4), comprising the following steps: capturing the position of a vehicle user (2) who is located close to but outside of the vehicle; determining a provisional vehicle target position (PTP) and a provisional vehicle motion path (PMP) on the basis of the vehicle starting position (VSP) and the position of the vehicle user (2); checking if the provisional vehicle target position (PIP) and/or the motion of the vehicle into the provisional vehicle target position (PTP) on the provisional vehicle motion path (PMP) causes a collision with the vehicle user (2); changing the provisional vehicle target position (PTP) into a changed vehicle target position (CTP) and/or changing the provisional vehicle motion path (PMP) into a changed vehicle motion path (CMP) if a collision with the vehicle user (2) occurs at the provisional vehicle target position (PTP) or during the motion of the vehicle (

Abstract: A method of controlling a parking process of a vehicle includes the following steps: identifying a driver; learning driver parameters during a manual parking process performed by the driver, and associating the driver parameters with the identified driver; determining parking parameters based on the driver parameters; and controlling, based on the parking parameters, an autonomous parking process of the vehicle performed by a parking assistance system.

Abstract: In a control device (101) and method for a vehicle (100, 300, 400, 500, 600, 700, 800) for calculating a vehicle trajectory (102) starting from a start position (103, 303, 403, 503, 603, 703, 803) up to an end position (104, 304, 310, 311, 404, 504, 604, 704, 804), a surroundings-sensing device (105) is designed to sense free regions and occupied regions in an area surrounding the vehicle and to output corresponding surroundings information (106), and a trajectory-calculation device (107) is designed to calculate possible first collision-free trajectories for the vehicle based on the surroundings information (106) starting from the start position and to calculate possible second collision-free trajectories for the vehicle starting from the end position.

Abstract: Disclosed is a method for detection of a pressure loss in motor vehicle tires, which detects pressure loss on at least one vehicle tire based on several parameters, which are calculated from the rolling circumference of the tires. To this end, currently calculated parameters are compared with learnt values of the parameters.

Abstract: Disclosed is a method of indirect tire pressure monitoring. The method includes: learning test variables (DIAG, SIDE, AXLE), which describe the rotational movements of the wheels; determining rolling circumference differences (?DIAG, ?SIDE, ?AXLE) from actually determined test variables and the learnt test variables; learning at least one torsion natural frequency fp for at least one tire from the oscillation behavior of the individual tires; determining at least one shift of the torsion natural frequency ?fp from at least one actually determined torsion natural frequency and from the at least one learnt torsion natural frequency; and combining the rolling circumference differences (?DIAG, ?SIDE, ?AXLE) with the at least one shift of the torsion natural frequency fp in a joint warning strategy for detecting and warning of tire inflation pressure loss.

Abstract: Method for automatically initializing an indirectly measuring tire pressure monitoring system which due a change of the rotational behavior of the vehicle wheels, in particular a change in the rolling circumference detects a deflation on the vehicle wheels by comparing learnt reference values with continuously detected new values (1), where furthermore a deflation on the vehicles wheels is detected by evaluating the natural frequency of the single vehicle wheels (3) and where an automatic initialization (5) is being executed, if the indirectly measuring tire pressure monitoring system during the movement of the vehicle after a standstill detects a deflation on a vehicle wheel compared with the situation before the standstill of the vehicle (2), whereas the evaluation of the natural frequency of the vehicle wheels does not detect a deflation on the same vehicle wheel (4).

Abstract: Disclosed is a method of indirect tire pressure monitoring. The method includes: learning test variables (DIAG, SIDE, AXLE), which describe the rotational movements of the wheels; determining rolling circumference differences (?DIAG, ?SIDE, ?AXLE) from actually determined test variables and the learnt test variables; learning at least one torsion natural frequency fp for at least one tire from the oscillation behavior of the individual tires; determining at least one shift of the torsion natural frequency ?fp from at least one actually determined torsion natural frequency and from the at least one learnt torsion natural frequency; and combining the rolling circumference differences (?DIAG, ?SIDE, ?AXLE) with the at least one shift of the torsion natural frequency fp in a joint warning strategy for detecting and warning of tire inflation pressure loss.

Abstract: A method of detecting the tire sensitivity is described. The method includes determining the tire load Ftire of the vehicle, determining rotational speed information of the wheels, determining the tire sensitivity from the variation of the wheel rotational speed information depending on the variation of the tire load Ftire.

Abstract: The present device relates to a method of improving a indirect measurement tire pressure detection system. Such systems include a system that detects pressure loss based on wheel speed data. The present method determines reference values dependent upon driving parameters and produces a two-dimensional or multi-dimensional closed range of driving parameters. The closed range of driving parameters uses reference values that are determined to be currently valid.