The invention relates to a method for improved data fusion during environment detection in a motor vehicle (50), comprising the following steps: detecting (101) an environment (40) of the motor vehicle (50) using at least one sensor (2); recognising (102) objects (81) in measurement data (20) detected by the at least one sensor (2); fusioning (115) of the recognised objects (81) and the object positions thereof in an environment map (80), wherein a probability of existence is/will be assigned to objects (81) recorded in the environment map (80), and wherein the probability of existence of a recorded object (81) is reduced, when a free region (86, 86.1) is measured during the detection of the position of the recorded object, wherein a respective orientation attribute (60) is assigned to the objects (81) recorded in the environment map (80) and recorded in the environment map (80), and for a region in the sensor region (83.1, 83.2, 83.3) of the at least one sensor (2), in which a free region (86, 86.1) is measured, the probability of existence of an object (81) recorded in the region of the environment map (80) corresponding to the region is reduced in accordance with the assigned orientation attribute (60). The invention also relates to the associated device (1).

A method classifies dynamic or static objects in a surrounding area with a control device. Sound echoes are generated by at least one sensor over a defined time period. The sound echoes are emitted into the surrounding area, and are detected by the at least one sensor in order to acquire measurement data. The measurement data of the at least one sensor are received by the control device. The received measurement data are recorded in a two-dimensional array. At least one echo trace is extracted from the array. A relative speed of the detected sound echoes with respect to the at least one sensor is determined using a derivative over time of the measurement data of the array. The at least one echo trace is classified based on the determined relative speed.

A method for determining potential damage to a vehicle battery. In the method, at least one acceleration data set relating to a vertical acceleration of a motor vehicle, which includes the vehicle battery, is determined. The at least one acceleration data set is then checked for the presence of a predetermined damage criterion, which indicates the potential damage to the vehicle battery. Finally, only for the case that the damage criterion is determined in the at least one acceleration data set, a control signal for actuating an actuator device of the motor vehicle is generated.

An obstacle recognition device, a vehicle system including the same, and a method thereof are provided. The obstacle recognition device includes a storage storing data and an algorithm for calculating a risk probability and a processor configured to execute the algorithm to generate an occupancy grid map based on a sensing value of at least one ultrasonic sensor, calculate the risk probability of each cell on the occupancy grid map, and determine a shape and location of an obstacle based on the risk probability of each cell.

An autonomous parking apparatus includes: a detector that detects a space around a vehicle, and a processor that performs autonomous parking by generating local map data based on spatial information obtained through the detector and detecting an available parking space based on the local map data.

A proximity alert system for a vehicle having a mobility access device that is moveable between a stowed position and a deployed position may include a control system, a sensor system, and an annunciator system. The control system operates the sensor system to detect a presence of an object within a defined sensing region exterior to the vehicle when the mobility access device is in the stowed position. The control system operates the annunciator system when the sensor system detects the presence of the object within the defined sensing region.

A detection method for detecting static objects in surroundings of a vehicle, and a vehicle.

The invention relates to a method for operating an ultrasonic sensor device (3) for a motor vehicle (1), with which an ultrasonic signal is emitted into a ground area (5) below the motor vehicle (1) and an ultrasonic signal from the ground area (5) is received and an object (6) in the ground area (5) is detected by means of a control unit (10) on the basis of the emitted and/or the received ultrasonic signals, wherein the ultrasonic signal is emitted by a first ultrasonic sensor (4a) of the ultrasonic sensor device (3) and the ultrasonic signal emitted by the first ultrasonic sensor (4a) and reflected at a road surface (9) in the ground area (5) is received by a second ultrasonic sensor (4b) of the ultrasonic sensor device (3) and the object (6) is detected by the control unit (10) on the basis of a proportion of the ultrasonic signal that is received by the second ultrasonic sensor (4b).

An object detection device includes a transceiver configured to transmit/receive an ultrasonic wave; a drive signal generation unit configured to generate a drive signal for driving the transceiver; a transmitter circuit configured to cause the transceiver to transmit a probe wave, which is an ultrasonic wave, by driving the transceiver based on the drive signal; and a receiver circuit configured to generate a reception signal corresponding to a reception result of the ultrasonic wave of the transceiver, wherein the drive signal generation unit is configured to generate the drive signal so that frequency of the probe wave changes over time. The device further includes: a voltage measurement unit configured to measure a voltage signal generated in the transceiver while the transceiver transmits the probe wave with frequency changing over time; and a state determination unit configured to make a state determination regarding the transceiver based on the voltage signal.

A method can be used for adaptive parking of a vehicle. A parking area is determined around a programmed destination of the vehicle. The parking area has more than one available parking spot for the vehicle. Parking data is acquired via a wireless communication network. The parking data for each parked vehicle includes a parking position and an individual sensing coverage of an environment sensor system of the respective parked vehicle scanning the traffic environment within the parking area. Available parking spots are ranked based on a calculated overall sensing coverage and a recommended parking spot is determined among the available parking spots based on overall sensing coverage of the traffic environment in the parking area.