A method is provided for classifying an object, in particular in the surroundings of a motor vehicle, using an ultrasonic sensor system, the ultrasonic sensor system including a plurality of spatially distributed ultrasonic sensors. A plurality of measurements are carried out continuously during a measurement, an ultrasonic signal being emitted by one of the ultrasonic sensors, a signal being received by at least one of the ultrasonic sensors which includes a plurality of reflected echo signals, so-called multiple echoes, and the received echo signals being associated with an object. A plurality of features may be determined from the received echo signals. The object is classified as a function of a combination of at least two of these features, in particular as a pedestrian.

In an object detection device to be installed to a vehicle and detect an object outside the vehicle, a position calculator sets multiple candidate points representing a candidate position of the object, based on positions of feature points extracted from a first image captured at a first time. The multiple candidate points are set to be denser within a detection range set based on a distance to the object detected by the ultrasonic sensor than outside the detection range. The position calculator estimates positions of the multiple candidate points at a second time which is after the first time, based on the positions of the multiple candidate points and movement information of the vehicle, and calculates the position of the object by comparing the estimated positions of the multiple candidate points at the second time and the positions of the feature points extracted from a second image captured at the second time.

In an object detection device to be installed to a vehicle and detect an object outside the vehicle, a position calculator sets multiple candidate points representing a candidate position of the object, based on positions of feature points extracted from a first image captured at a first time. The multiple candidate points are set to be denser within a detection range set based on a distance to the object detected by the ultrasonic sensor than outside the detection range. The position calculator estimates positions of the multiple candidate points at a second time which is after the first time, based on the positions of the multiple candidate points and movement information of the vehicle, and calculates the position of the object by comparing the estimated positions of the multiple candidate points at the second time and the positions of the feature points extracted from a second image captured at the second time.

A position determining device and an operating method thereof are disclosed. According to the present invention, a position of a neighboring vehicle is determined by using the differences of the receiving time and strengths between two sensing signals received from two ultrasound sensors installed in a vehicle. Therefore, it is possible to estimate a position and a moving path for neighboring vehicles while driving a vehicle.

A position determining device and an operating method thereof are disclosed. According to the present invention, a position of a neighboring vehicle is determined by using the differences of the receiving time and strengths between two sensing signals received from two ultrasound sensors installed in a vehicle. Therefore, it is possible to estimate a position and a moving path for neighboring vehicles while driving a vehicle.

Provided are methods for acoustic emission based device control. Some methods described also include receiving information associated with a first acoustic emission sensor, a second acoustic emission sensor, and a third acoustic emission sensor is received. In embodiments, the information corresponds to an event. In accordance with the first, second, and third acoustic emission sensor information, the first, second, and third timestamps, and a geometry of the surface, a unit vector is calculated from each acoustic emission sensor in the direction of the event's origin. Parameters are calculated based on the unit vectors. Systems and computer program products are also provided.

Provided are methods for acoustic emission based device control. Some methods described also include receiving information associated with a first acoustic emission sensor, a second acoustic emission sensor, and a third acoustic emission sensor is received. In embodiments, the information corresponds to an event. In accordance with the first, second, and third acoustic emission sensor information, the first, second, and third timestamps, and a geometry of the surface, a unit vector is calculated from each acoustic emission sensor in the direction of the event's origin. Parameters are calculated based on the unit vectors. Systems and computer program products are also provided.

An active indoor location sensing technique is presented for smartphones and other types of mobile devices without requiring any additional sensors or pre-installed infrastructure. The main idea is to actively generate acoustic signatures by transmitting a sound signal with a phone's speakers and sensing its reflections with the phone's microphones. This active sensing achieves finer-grained control of the collected signatures than the widely-used passive sensing.

An active indoor location sensing technique is presented for smartphones and other types of mobile devices without requiring any additional sensors or pre-installed infrastructure. The main idea is to actively generate acoustic signatures by transmitting a sound signal with a phone's speakers and sensing its reflections with the phone's microphones. This active sensing achieves finer-grained control of the collected signatures than the widely-used passive sensing.

A determining method for obstacles includes determining whether an ultrasonic noise exists in TOF of an ultrasonic wave reflected by an object and received; generating a virtual object on an outline of a parking path that a vehicle is to move on based on the received ultrasonic wave TOF; generating virtual indirect wave TOF using the virtual object; and determining whether the object is located inside or outside the outline of the parking path by comparing real indirect wave TOF, which is indirect wave TOF among the received ultrasonic wave TOFs, with the virtual indirect wave TOF.