A computer implemented method for determining a position, and/or an acceleration, and/or an angular rate and/or an orientation of a vehicle includes the following steps carried out by computer hardware components: determining first measurement data using a first sensor; determining a preliminary position and/or a preliminary orientation based on the first measurement data; determining second measurement data using a second sensor, wherein the second sensor includes a radar sensor and/or a LIDAR sensor and/or a camera; determining a preliminary acceleration and/or a preliminary angular rate based on the second measurement data; and determining a final position, and/or a final acceleration, and/or a final angular rate and/or a final orientation based on the preliminary acceleration and/or the preliminary angular rate, and the preliminary position and/or the preliminary orientation.

A method for detecting a moving object in a scene includes providing sampled ultrasonic echo signals from the scene; determining echo envelopes of the sampled ultrasonic echo signals; determining differentials of successive echo envelopes for providing echo envelope differentials; determining the absolute values of the echo envelope differentials; and conducting a classification based on the determined absolute values of the echo envelope differentials for determining a relative movement of the moving object.

Proposed is a noise avoiding method for a space monitoring apparatus using a sound signal and, more specifically, is a technology that allows the space monitoring apparatus, which uses a sound signal to monitor a spatial condition, to avoid noise in a space to be monitored to correctly determine the spatial condition.

Proposed is a noise avoiding method for a space monitoring apparatus using a sound signal and, more specifically, is a technology that allows the space monitoring apparatus, which uses a sound signal to monitor a spatial condition, to avoid noise in a space to be monitored to correctly determine the spatial condition.

A receiver, an operating method of the receiver, and a beamforming radar system including the receiver are provided. A beamforming receiver may include a demodulation circuit configured to receive a signal reflected from an object via an antenna, to demodulate the received signal, and to generate a demodulated signal, and a time delay circuit configured to generate a digital signal by processing the demodulated signal based on reference clock signals, wherein the digital signal including static delay information associated with a static motion of the object, and dynamic delay information associated with a dynamic motion of the object.

A system for monitoring animate presence, including one or more ultrasonic transducers configured to transmit an ultrasonic signal, one or more ultrasonic receivers configured to receive an echo signal in response to the transmitted ultrasonic signal, an electronic circuit for comparing the transmitted signal to the received echo signal and identify a phase shift between the signals; wherein the electronic circuit identifies animate presence based on the identified phase shift.

An in-vehicle object determining apparatus cooperates with an obstacle sensor unit, which detects an obstacle at a first time. An estimated detected state is calculated as a detected state of the obstacle estimated to be detected by the obstacle sensor unit at a second time after a lapse of a predetermined time period from the first time, on condition that the obstacle is assumed to be under stationary state, based on (i) a vehicle-relative position of the obstacle detected at the first time, (ii) a sensor position of the obstacle sensor unit, and (iii) a vehicle position change during a period from the first time to the second time. It is determined that the obstacle is a moving object based on a discrepancy between the estimated detected state of the obstacle and a real detected state of the obstacle actually detected by the obstacle sensor unit at the second time.

An in-vehicle object determining apparatus cooperates with an obstacle sensor unit, which detects an obstacle at a first time. An estimated detected state is calculated as a detected state of the obstacle estimated to be detected by the obstacle sensor unit at a second time after a lapse of a predetermined time period from the first time, on condition that the obstacle is assumed to be under stationary state, based on (i) a vehicle-relative position of the obstacle detected at the first time, (ii) a sensor position of the obstacle sensor unit, and (iii) a vehicle position change during a period from the first time to the second time. It is determined that the obstacle is a moving object based on a discrepancy between the estimated detected state of the obstacle and a real detected state of the obstacle actually detected by the obstacle sensor unit at the second time.

A living object detection system may detect the interaction between an observer and a target object. The system may include an object sensor device, an object classification data unit, and an object detection module. The object sensor device may be attachable to the observer and include an ultrasonic sensor for sensing distance and a passive infrared sensor for sensing temperature. The object classification data unit may store predetermined object classifiers that identifies an object as a living object or non-living object. The object detection module may determine the target object as a living object or a non-living object based on the object classifiers stored in the object classification data unit and on a physical feature set of the target object, where the physical feature set may include distance and temperature parameters.

The present application discloses a testing method and apparatus for a vehicle perception system, a device and a storage medium, and relates to data processing and, in particular to the field of artificial intelligence such as automatic driving, intelligent transportation, etc. A specific implementation scheme lies in: acquiring an actual speed and a perceptual speed of a test object, where the perceptual speed of the test object is a speed of the test object perceived by the vehicle perception system; determining, according to the actual speed of the test object and the perceptual speed of the test object, speed reporting delay time of the vehicle perception system, where the speed reporting delay time is used to reflect sensitivity of the vehicle perception system to perceive a speed of an obstacle.