A vehicular sensing system includes a first set of first sensors disposed at a first rear portion of a vehicle. The system includes a second set of second sensors disposed at a second rear portion of the vehicle that is above the first rear portion of the vehicle. A respective first field of sensing of at least one first sensor at least partially overlaps a respective second field of sensing of at least one second sensor. The system includes an electronic control unit (ECU) for processing sensor data to detect objects that are located within the at least partially overlapping fields of sensing of the at least one first sensor and the at least one second sensor. The vehicular sensing system, responsive to detecting the objects that are located within the at least partially overlapping fields of sensing, determines three-dimensional locations of the detected objects relative to the vehicle.

A method for determining the elevation angle and/or azimuth angle of a signal received by an ultrasound sensor includes: providing an ultrasound sensor with a frequency-dependent radiation pattern; transmitting a first ultrasound wave at a first frequency; transmitting a second ultrasound wave at a second frequency different from the first frequency; receiving reflections of the first and second waves, the reflections being caused by an object; and determining the elevation angle of the first and second reflected waves based on amplitudes of the reflections of the first and second waves. Determining the elevation angle (and/or azimuth angle includes calculating a ratio between the amplitudes of received reflections of the first and second waves and mapping a calculated ratio to an elevation angle and/or azimuth angle. The mapping is based on a predetermined ratio curve or ratio dataset which associates a certain amplitude ratio to an elevation angle and/or azimuth angle.

A computer-implemented method of generating a thumbnail of a video stream or file of a surveillance area in a video management system, including setting, in the video management system, at least one sound event to be detected in at least one audio stream or file corresponding to the video stream or file; detecting, in the at least one audio stream or file, at least one point in time at which the at least one sound event occurs; generating the thumbnail based on at least part of at least one frame of the video stream or file, wherein the frame is selected based on the point in time; and displaying the thumbnail in the video management system.

A computer-implemented method of generating a thumbnail of a video stream or file of a surveillance area in a video management system, including setting, in the video management system, at least one sound event to be detected in at least one audio stream or file corresponding to the video stream or file; detecting, in the at least one audio stream or file, at least one point in time at which the at least one sound event occurs; generating the thumbnail based on at least part of at least one frame of the video stream or file, wherein the frame is selected based on the point in time; and displaying the thumbnail in the video management system.

An active three-dimensional scene information acquisition method based on dimensionality-reduced sparse representation is provided. The method jointly processes multiple one-dimensional active detection signals collected synchronously to achieve three-dimensional positioning of objects in a detected scene or three-dimensional reconstruction of a scene structure. Through an active detection system equipped with one transmitter and multiple receivers, simultaneous three-dimensional positioning of multiple targets in a scene or three-dimensional reconstruction of the geometry of the scene is achieved.

A system is capable of scanning the layout of a room and a method for its usage. In a typical embodiment, the system consists of a mobile device that utilizes a distance sensor(s). The mobile device and/or sensor(s) rotate and travel around a room, providing multiple distance calculations that convert to degree arrays and obstacle arrays, mapping out the layout of the room without human presence.

A method, device and computer program product for controlling the device by tracking a movement of a hand or other objects. The device receives acoustic signals. At least a portion of the received signals are transformed into two-dimensional sinusoids whose frequencies are proportional to an angle-of-arrival (AoA) and a propagation distance of the reflected signals. An AoA-distance profile is derived based on signals received from the object by evaluating frequencies of the two-dimensional sinusoids. Then, an AoA-distance pair is derived from the AoA-distance profile. A current location of the object is determined based on the estimated AoA-distance pair. The device then performs a command in response to detecting that the user moved to perform the command based on prior and current locations of the object.

In various embodiments, methods, systems, and vehicle apparatuses are provided. A method for estimating a Hitch Articulation Angle (HAA) using Ultra-Sonic Sensors (USSs) while ensuring quality detected echo signal performance using plausibility filtering, generating at least one set of USS data based on detecting a set of echo signals generated by a plurality of USSs configured about a vehicle coupled to a trailer; determining based on a set of USS data using a selected set of geometric equations in a plausibility filtering process for an arbitrary frontal shape of the trailer; and generating at least one comparison based on at least one set of USS data estimations to a kinematic model at low speeds for ensuring that results of the kinematic model to the HAA associated with the determined trailer shape is based on a pair of detected echo signals that are deemed to have a higher signal performance.

In various embodiments, methods, systems, and vehicle apparatuses are provided. A method for estimating a Hitch Articulation Angle (HAA) using Ultra-Sonic Sensors (USSs) while ensuring quality detected echo signal performance using plausibility filtering, generating at least one set of USS data based on detecting a set of echo signals generated by a plurality of USSs configured about a vehicle coupled to a trailer; determining based on a set of USS data using a selected set of geometric equations in a plausibility filtering process for an arbitrary frontal shape of the trailer; and generating at least one comparison based on at least one set of USS data estimations to a kinematic model at low speeds for ensuring that results of the kinematic model to the HAA associated with the determined trailer shape is based on a pair of detected echo signals that are deemed to have a higher signal performance.

Systems and methods are described that can include transmitting, from a first wearable computing device, a first ultrasound signal and receiving, by the first wearable computing device and responsive to the first ultrasound signal, a second ultrasound signal from a second wearable computing device. The method can include identifying, by the first wearable computing device, a location of the second wearable computing device with respect to a location of the first wearable computing device where the location of the second wearable computing device can be identified based on a determined time-of-flight of the first ultrasound signal. The method can include establishing a wireless connection between the first wearable computing device and the second wearable computing device where the wireless connection can be based at least in part on the identifier and the identified location associated with the second wearable computing device.