Patent classifications
G01S5/22
Photographing control method and controller with target localization based on sound detectors
A photographing control method includes detecting a target sound from a target using a plurality of sound detectors of a mobile platform carrying a sensor, determining a target location of the target according to the target sound detected using the plurality of sound detectors, and controlling the mobile platform based at least in part on the target location.
System and method for blind differential time-of-arrival estimation
A system for determining a geographical position of a transmitting device is disclosed. In embodiments, the system includes a concentrator device and a plurality of sensors. In embodiments, each sensor may be configured to: receive an emitter signal from a transmitting device; generate a demodulated sequence of the emitter signal; generate a time-of-arrival (TOA) estimate of the emitter signal; and transmit the demodulated sequence and the TOA estimate to the concentrator device. In embodiments, the concentrator may be configured to: receive a first demodulated sequence and a first TOA estimate (TOA.sub.1) from a first sensor; receive a second demodulated sequence and a second TOA estimate (TOA.sub.2), from a second sensor; determine a first arbitrary timing offset (ATO.sub.1) between the first demodulated sequence and the second demodulated sequence; and determine a first differential TOA estimate (TOA.sub.Diff.sub.
Wearable device and user input system for computing devices and artificial reality environments
A wearable device equipped with sensors or transducers capable of detecting a vibration propagating through two different mediums. In some embodiments, the two mediums are air and a surface contacted by a user. In such an embodiment, the sensors or transducers include a microphone and an accelerometer. In some embodiments, the device may perform some or all of the signal processing and/or logic used to determine that a contact occurred and the location of the contact using a processor programmed with a set of computer-executable instructions. In some embodiments, the device may transmit data or signals to a processor located in a different device, such as a mobile phone or artificial reality headset, for signal processing and/or the execution of logic.
Wearable device and user input system for computing devices and artificial reality environments
A wearable device equipped with sensors or transducers capable of detecting a vibration propagating through two different mediums. In some embodiments, the two mediums are air and a surface contacted by a user. In such an embodiment, the sensors or transducers include a microphone and an accelerometer. In some embodiments, the device may perform some or all of the signal processing and/or logic used to determine that a contact occurred and the location of the contact using a processor programmed with a set of computer-executable instructions. In some embodiments, the device may transmit data or signals to a processor located in a different device, such as a mobile phone or artificial reality headset, for signal processing and/or the execution of logic.
MULTI-DIMENSIONAL SPATIAL POSITIONING SYSTEM AND METHOD FOR DISTURBANCE SOURCE
A multi-dimensional spatial positioning system and method for disturbance source. The system includes a distributed-optical fiber sensor, a sensing optical fiber, a coordinate system, a disturbance source to be monitored, a first signal group, and a second signal group. The disturbance source is positioned by combining an array signal processing method with the distributed optical fiber sensor, using different laying manners for the sensing optical fiber and a certain number of flexibly selected sensing units distributed a certain distance from each other along a line, and combining with a special signal processing method, thereby realizing a function of being capable of monitoring multi-dimensional spatial position information of the disturbance source in real time in both short and long distances.
ULTRASONIC SYSTEM AND METHOD FOR DETERMINING THE LOCATION OF A DRIVER OF A VEHICLE
An ultrasonic system for determining the location of a driver of a vehicle, includes a hand-held device with at least a first ultrasonic sensor, wherein the first ultrasonic sensor has at least one transmitter, and a motor vehicle having a multiplicity of second ultrasonic sensors, wherein the second ultrasonic sensors each have at least one receiver for receiving signals of the first ultrasonic sensor. A method is disclosed for determining the location of a driver of a vehicle.
ULTRASONIC SYSTEM AND METHOD FOR DETERMINING THE LOCATION OF A DRIVER OF A VEHICLE
An ultrasonic system for determining the location of a driver of a vehicle, includes a hand-held device with at least a first ultrasonic sensor, wherein the first ultrasonic sensor has at least one transmitter, and a motor vehicle having a multiplicity of second ultrasonic sensors, wherein the second ultrasonic sensors each have at least one receiver for receiving signals of the first ultrasonic sensor. A method is disclosed for determining the location of a driver of a vehicle.
METHODS AND APPARATUS TO IMPROVE DETECTION OF AUDIO SIGNATURES
Methods, apparatus, systems and articles of manufacture are disclosed to improve detection of audio signatures. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to: determine a first time difference of arrival for a first audio sensor of a meter and a second audio sensor of the meter based on a first audio recording from the first audio sensor and a second audio recording from the second audio sensor; determine a second time difference of arrival for the first audio sensor and a third audio sensor of the meter based on the first audio recording and a third audio recording from the third audio sensor; determine a match by comparing the first time difference of arrival to i) a first virtual source time difference of arrival and ii) a second virtual source time difference of arrival; in response to determining that the first time difference of arrival matches the first virtual source time difference of arrival, identify a first virtual source location as the location of a media presentation device presenting media; and remove the second audio recording to reduce a computational burden on the processor.
METHODS AND APPARATUS TO IMPROVE DETECTION OF AUDIO SIGNATURES
Methods, apparatus, systems and articles of manufacture are disclosed to improve detection of audio signatures. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to: determine a first time difference of arrival for a first audio sensor of a meter and a second audio sensor of the meter based on a first audio recording from the first audio sensor and a second audio recording from the second audio sensor; determine a second time difference of arrival for the first audio sensor and a third audio sensor of the meter based on the first audio recording and a third audio recording from the third audio sensor; determine a match by comparing the first time difference of arrival to i) a first virtual source time difference of arrival and ii) a second virtual source time difference of arrival; in response to determining that the first time difference of arrival matches the first virtual source time difference of arrival, identify a first virtual source location as the location of a media presentation device presenting media; and remove the second audio recording to reduce a computational burden on the processor.
Detection and classification of siren signals and localization of siren signal sources
In an embodiment, a method comprises: capturing, by one or more microphone arrays of a vehicle, sound signals in an environment; extracting frequency spectrum features from the sound signals; predicting, using an acoustic scene classifier and the frequency spectrum features, one or more siren signal classifications; converting the one or more siren signal classifications into one or more siren signal event detections; computing time delay of arrival estimates for the one or more detected siren signals; estimating one or more bearing angles to one or more sources of the one or more detected siren signals using the time delay of arrival estimates and a known geometry of the microphone array; and tracking, using a Bayesian filter, the one or more bearing angles. If a siren is detected, actions are performed by the vehicle depending on the location of the emergency vehicle and whether the emergency vehicle is active or inactive.