Aspects of the present disclosure describe dynamic road traffic noise mapping using DFOS over a telecommunications network that enables mapping of road traffic-induced noise at any observer location. DFOS is used to obtain instant traffic data including vehicle speed, volume, and vehicle types, based on vibration and acoustic signal along the length of a sensing fiber along with location information. A sound pressure level at a point of interest is determined, and traffic data associated with such point is incorporated into a reference noise emission database and a wave propagation theory for total sound pressure level prediction and mapping. Real-time wind speed using DFOS—such as distributed acoustic sensing (DAS)—is obtained to provide sound pressure adjustment due to the wind speed.

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 terrestrial communication systems, specifically a signal collision avoidance system between a terrestrial transmitter and an airborne receiver, is disclosed. The terrestrial communication system includes an electronic processor configured to determine a receive frequency from a nearby airborne receiver, determine a transmit frequency from a communicatively coupled terrestrial transmitter, and modify the transmit frequency of the terrestrial transmitter based on the determined receive frequency and transmit frequency. To modify the transmit frequency, the electronic processor compares the receive frequency and the transmit frequency to determine a channel type. Based on the determined channel type, including co-channel and adjacent-channel, the electronic processor modifies a spectrum signature of the transmit frequency so that the transmit frequency does not interfere with the receive frequency of the airborne receiver.

A system for measuring a number of layers in a layered environment includes an ultrasound transducer positioned at an exterior surface of a first layer at a first location. At least one receiving sensor is positioned perpendicular to the exterior surface of the first layer at a second location. The ultrasound transducer and the at least one receiving sensor are in communication with a computer processor, power source, and computer-readable memory. The ultrasound transducer is configured to emit a first ultrasound signal into the first layer at the first location. The at least one receiving sensor is configured to receive a plurality of propagated ultrasound signals. The processor is configured to determine a total number of layers in the layered environment based on at least one from the set of: a number of signals received and a number of propagation direction changes only of the first ultrasound signal.

Superterranean acoustic networks, methods of forming superterranean acoustic networks, and methods of operating superterranean acoustic networks are disclosed herein. The superterranean acoustic networks include superterranean hydrocarbon infrastructure that extends above a ground surface, defines a waveguide, and contains a fluid. The infrastructure also includes a plurality of acoustic communication nodes spaced-apart along the superterranean hydrocarbon infrastructure. Each acoustic communication node of the plurality of acoustic communication nodes includes an acoustic transmitter and an acoustic receiver. The acoustic transmitter is configured to generate a generated acoustic signal and to supply the generated acoustic signal to the waveguide. Responsive to receipt of the generated acoustic signal, the waveguide is configured to propagate a propagated acoustic signal there through. The acoustic receiver is configured to receive another propagated acoustic signal, which is generated by another acoustic communication node of the plurality of acoustic communication nodes, from the waveguide as a received acoustic signal.

Embodiments deal with a method, a computer program as well as an apparatus for detecting one or more objects in the sea floor. The method comprises obtaining a receiver signal. The receiver signal is based on a scattering of multiple acoustic signals at the one or more objects in the sea floor. The receiver signal is generated by a plurality of receivers. The method further comprises grouping portions of the receiver signal to points of a detection grid. The detection grid represents a grid at the points of which the one or more objects are being localized. The method further comprises performing a travel time correction of the portions of the receiver signal with respect to the points of the detection grid. The method further comprises combining the travel time corrected portions of the receiver signal at the points of the detection grid. The method further comprises detecting the one or more objects at the points of the detection grid based on the combination of the travel time corrected portions of the receiver signal. The detection of the one or more objects is based on the scattering of the multiple acoustic signals at the one or more objects.

An apparatus includes a signal acquisition part acquires oscillation signals from sensors provided under lanes of a bridge and close to an expansion joint, a signal separation part applies BSS to the oscillation signals to estimate source oscillation signals respectively separated in the plurality of lanes, and adjusts amplitude of the source oscillation signals to output amplitude adjusted oscillation signals, and a vehicle estimation part estimates, from the amplitude adjusted oscillation signal, a response oscillation due to a vehicle passing on the lane of interest to detect and count vehicles passing on the lane.

A system for analyzing a plurality of channels of data received from a sensor array. The system includes a data acquisition system that receives and independently processes each channel. A low-level processing section receives each channel of processed data and identifies signals of interest in one channel. Signals of interest are stored in an event database. A high-level processing section analyzes data occurring over a preset duration of time and across multiple channels of data and communicates with an operator machine interface. The operator machine interface provides analysis to an operator. Further aspects of the system characterize the data in order to indicate the data source and alert the operator to signals having certain predefined characteristics.

Techniques for low power gunshot detection are disclosed. Infrared information is collected using a gunshot sensor device. The infrared information is collected using mid-infrared band sensing to provide motion detection. Additional infrared information is buffered using the gunshot sensor device. The additional infrared information is collected using near-infrared band sensing. The buffering is enabled by the motion detection. Acoustic information is collected using the gunshot sensor device. The collecting acoustic information is enabled by the motion detection. A gunshot is detected using the gunshot sensor device. The detecting is based on the additional infrared information and the acoustic information. The detecting includes monitoring the acoustic information to identify a high-intensity gunshot sound and correlating the high-intensity gunshot sound to the infrared information that was buffered. The gunshot sensor device uses cable-free communication to a network and notifies the network of a possible gunshot occurrence.

Systems and methods for detecting the presence of a body in a network without fiducial elements, using signal absorption, and signal forward and reflected backscatter of radio frequency (RF) waves caused by the presence of a biological mass in a communications network.