G01S3/86

OBJECT DETECTION APPARATUS
20170315207 · 2017-11-02 ·

In an object detection apparatus, a first region definition unit defines a first object region including a first detection point representing a relative position of a first object detected by a millimeter-wave radar with respect to a reference point in an XY-plane. An X-axis direction of the XY-plane is a vehicle widthwise direction, and a Y-axis direction of the XY-plane is a vehicle lengthwise direction. A second region definition unit defines a second object region including a second detection point representing a relative position of a second object detected based on a captured image with respect to the reference point. A region size modification unit modifies the size of the first region in the presence of axial misalignment of the radar. A determination unit determines that the first and second objects are the same if there is an overlap of the first and second object regions in the XY-plane.

OBJECT DETECTION APPARATUS
20170315207 · 2017-11-02 ·

In an object detection apparatus, a first region definition unit defines a first object region including a first detection point representing a relative position of a first object detected by a millimeter-wave radar with respect to a reference point in an XY-plane. An X-axis direction of the XY-plane is a vehicle widthwise direction, and a Y-axis direction of the XY-plane is a vehicle lengthwise direction. A second region definition unit defines a second object region including a second detection point representing a relative position of a second object detected based on a captured image with respect to the reference point. A region size modification unit modifies the size of the first region in the presence of axial misalignment of the radar. A determination unit determines that the first and second objects are the same if there is an overlap of the first and second object regions in the XY-plane.

WEARABLE AUDITORY FEEDBACK DEVICE
20170303052 · 2017-10-19 ·

A wearable auditory feedback device includes a frame, a plurality of microphone arrays, a plurality of feedback motors, and a processor. The frame is wearable on a user's head or neck. The microphone arrays are embedded in the frame on a left side, a right side, and a rear side with respect to the user. The feedback motors are also embedded in the frame on the left side, the right side, and the rear side with respect to the user. The processor is configured to receive a plurality of sound waves collected with the microphone arrays from a sound wave source, determine an originating direction of the sound waves, and activate a feedback motor on a side the frame corresponding to the originating direction.

Wave source direction estimation apparatus, wave source direction estimation system, wave source direction estimation method, and wave source direction estimation program
11454694 · 2022-09-27 · ·

This wave source direction estimation apparatus is capable of highly accurately estimating the direction of a wave source even in an environment with a high surrounding noise level, and is provided with: a plurality of input signal acquisition means for acquiring signals generated at a wave source as input signals; a correlation function calculation means for calculating correlation functions on the basis of the input signals acquired by the input signal acquisition means; an envelope function extraction means for extracting envelope functions on the basis of the calculated correlation functions; a combined envelope function calculation means for calculating a combined envelope function by combining the extracted envelope functions; and an estimated direction information generation means for generating estimated direction information about the wave source on the basis of the calculated combined envelope function.

Wave source direction estimation apparatus, wave source direction estimation system, wave source direction estimation method, and wave source direction estimation program
11454694 · 2022-09-27 · ·

This wave source direction estimation apparatus is capable of highly accurately estimating the direction of a wave source even in an environment with a high surrounding noise level, and is provided with: a plurality of input signal acquisition means for acquiring signals generated at a wave source as input signals; a correlation function calculation means for calculating correlation functions on the basis of the input signals acquired by the input signal acquisition means; an envelope function extraction means for extracting envelope functions on the basis of the calculated correlation functions; a combined envelope function calculation means for calculating a combined envelope function by combining the extracted envelope functions; and an estimated direction information generation means for generating estimated direction information about the wave source on the basis of the calculated combined envelope function.

TECHNOLOGIES FOR A FABRIC ACOUSTIC SENSOR
20170265760 · 2017-09-21 ·

Technologies for a fabric acoustic sensor are disclosed. The fabric acoustic sensor includes a conductive thread and a non-conductive thread, which form a diaphragm that vibrates in response to a sound wave. As a result of the vibration, the conductive thread stretches, and a resistance of the conductive thread varies. The change in resistance is measured by a compute device, and the compute device may determine the sound wave based on the change in resistance. In some embodiments, the fabric acoustic sensor may be used to monitor a heart rate, locate an object, and/or provide an input for noise cancellation.

TECHNOLOGIES FOR A FABRIC ACOUSTIC SENSOR
20170265760 · 2017-09-21 ·

Technologies for a fabric acoustic sensor are disclosed. The fabric acoustic sensor includes a conductive thread and a non-conductive thread, which form a diaphragm that vibrates in response to a sound wave. As a result of the vibration, the conductive thread stretches, and a resistance of the conductive thread varies. The change in resistance is measured by a compute device, and the compute device may determine the sound wave based on the change in resistance. In some embodiments, the fabric acoustic sensor may be used to monitor a heart rate, locate an object, and/or provide an input for noise cancellation.

PASS-Tracker: Apparatus and Method for Identifying and Locating Distressed Firefighters
20170270775 · 2017-09-21 ·

According to one aspect of the invention, the PASS-Tracker is a hand-held device that improves the ability of a rescuer to quickly locate a distressed firefighter by two processes: (1) detecting and recognizing the acoustic alarm sound from a PASS device in Alarm Mode, and (2) providing an indication to rescue personnel of the shortest path to the victim. The invention does not require a pre-installed infrastructure in a particular building; rather the device can be used in an ad hoc fashion at any fire scene. The PASS-Tracker utilizes a plurality of small microphones to detect the acoustic signal from the PASS device. Internal electronics in the PASS-Tracker measure the time-of-arrival (TOA) of the leading edge of the acoustic wave at each microphone and calculate and display the angle-of-arrival (AOA) of the wave.

METHOD FOR ENHANCING FAR-FIELD SPEECH RECOGNITION RATE, SYSTEM AND READABLE STORAGE MEDIUM
20220159373 · 2022-05-19 · ·

A method for enhancing a far-field speech recognition rate, a system and a storage medium are provided. The method includes scanning in the front of a smart TV so as to obtain position, movement and feature information of an object directly in the front of the smart TV; locating a sound source which sends out a trigger phase and using the obtained feature information for determining whether the sound source is a human; if yes, using a MIC array for forming a narrow sound-pickup beam pointing at the sound source and performing sound pickup; performing an angle adjustment on the sound-pickup beam in real-time so as to track the sound source. It is possible to preform precise positioning and distinguish a target sound source from interfering sources, and it is possible to track the target sound source, thereby enhancing a far-field speech recognition rate.

Beam rejection in multi-beam microphone systems

The systems, devices, and processes described herein may identify a beam of a voice-controlled device that is directed toward a reflective surface, such as a wall. The beams may be created by a beamformer. An acoustic echo canceller (AEC) may create filter coefficients for a reference sound. The filter coefficients may be analyzed to identify beams that include multiple peaks. The multiple peaks may indicate presence of one or more reflective surfaces. Using the amplitude and the time delay between the peaks, the device may determine that it is close to a reflective surface in a direction of the beam.