Patent classifications
G01S7/54
1D ultrasonic transducer unit for hazard identification for a vehicle
A 1D ultrasonic transducer unit for detecting danger for a vehicle, comprising a housing mounted on the vehicle, which includes at least three discrete ultrasonic transducers, designed to decouple sound waves at a corresponding working frequency between 20 kHz and 400 kHz into a gaseous medium, and a control unit, designed to control each ultrasonic transducer individually, two ultrasonic transducers directly adjacent to each other in each case having a distance, the 1D ultrasonic transducer unit having one sound channel per ultrasonic transducer, each with one inlet opening assigned to exactly one ultrasonic transducer and one outlet opening (26), the outlet openings being arranged along a straight line, a distance from directly adjacent outlet openings corresponding to no more than the full or half wavelength in the gaseous medium and being shorter than the corresponding distance.
1D ultrasonic transducer unit for hazard identification for a vehicle
A 1D ultrasonic transducer unit for detecting danger for a vehicle, comprising a housing mounted on the vehicle, which includes at least three discrete ultrasonic transducers, designed to decouple sound waves at a corresponding working frequency between 20 kHz and 400 kHz into a gaseous medium, and a control unit, designed to control each ultrasonic transducer individually, two ultrasonic transducers directly adjacent to each other in each case having a distance, the 1D ultrasonic transducer unit having one sound channel per ultrasonic transducer, each with one inlet opening assigned to exactly one ultrasonic transducer and one outlet opening (26), the outlet openings being arranged along a straight line, a distance from directly adjacent outlet openings corresponding to no more than the full or half wavelength in the gaseous medium and being shorter than the corresponding distance.
Sensor channel isolation systems and methods
Techniques are disclosed for systems and methods to provide accurate and reliable compact sonar systems for mobile structures. A sonar system includes multiple sensor channels, each comprising a sonar transmitter and a sonar receiver, and a logic device configured to provide control signals and receive sensor signals from the sensor channels. The logic device is configured to provide transmission signals to sonar transducer assemblies, where signal patterns of the transmission signals are differentiated based at least in part on frequency content. Acoustic returns are processed using the signal patterns to reduce inter-channel pickup between the sensor channels. Resulting sonar data and/or imagery may be displayed to a user and/or used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the mobile structure.
Sensor channel isolation systems and methods
Techniques are disclosed for systems and methods to provide accurate and reliable compact sonar systems for mobile structures. A sonar system includes multiple sensor channels, each comprising a sonar transmitter and a sonar receiver, and a logic device configured to provide control signals and receive sensor signals from the sensor channels. The logic device is configured to provide transmission signals to sonar transducer assemblies, where signal patterns of the transmission signals are differentiated based at least in part on frequency content. Acoustic returns are processed using the signal patterns to reduce inter-channel pickup between the sensor channels. Resulting sonar data and/or imagery may be displayed to a user and/or used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the mobile structure.
Object detection device
An object detection device includes: first and second transmission/reception units spaced apart from each other and configured to transmit an exploration wave and receive the exploration wave reflected by an object; and a processing unit configured to calculate a position of the object based on reception results by the first and second transmission/reception units. The processing unit includes: a distance processing unit configured to calculate first and second points based on the reception results, and calculates a separation distance between the first and second points; a position calculation unit configured to calculate the position based on the first and second points; a reflection intensity processing unit configured to calculate a reflection intensity indicating an intensity of the exploration wave received by the first and second transmission/reception units; and a position correction unit configured to correct the position based on the separation distance and the reflection intensity.
Object detection device
An object detection device includes: first and second transmission/reception units spaced apart from each other and configured to transmit an exploration wave and receive the exploration wave reflected by an object; and a processing unit configured to calculate a position of the object based on reception results by the first and second transmission/reception units. The processing unit includes: a distance processing unit configured to calculate first and second points based on the reception results, and calculates a separation distance between the first and second points; a position calculation unit configured to calculate the position based on the first and second points; a reflection intensity processing unit configured to calculate a reflection intensity indicating an intensity of the exploration wave received by the first and second transmission/reception units; and a position correction unit configured to correct the position based on the separation distance and the reflection intensity.
Underwater imaging system with multiple connected autonomous underwater vehicles
A method of stereoscopic mapping an underwater location includes determining a relative position and relative distance between two separate sensors on separate underwater platforms. Each of the two separate sensors scans a same underwater feature from its respective determined relative position. A stereoscopic image of the underwater feature is created from the two scanned images.
Underwater imaging system with multiple connected autonomous underwater vehicles
A method of stereoscopic mapping an underwater location includes determining a relative position and relative distance between two separate sensors on separate underwater platforms. Each of the two separate sensors scans a same underwater feature from its respective determined relative position. A stereoscopic image of the underwater feature is created from the two scanned images.
SYSTEM AND METHOD FOR MEASURING DISTANCE USING ACOUSTIC SIGNAL
Provided is a distance measurement system, including: at least one sound source configured to generate an acoustic signal; an acoustic sensor including a plurality of directional acoustic sensors arranged to have directionalities different from one another; and at least one processor configured to: obtain a directionality of the acoustic signal in a particular direction based on at least one of a sum of output signals of the plurality of directional acoustic sensors or a difference between the output signals of the plurality of directional acoustic sensors, the at least one of the sum or the difference being based on applying a weight to at least one of the output signals; and determine a distance between the acoustic sensor and a reflection surface based on a time for the acoustic signal to arrive at the acoustic sensor in the particular direction after being generated and then reflected from the reflection surface.
POSITION CORRECTION USING TOWED SENSOR
Aspects of the subject technology relate to a method of correcting sensor position. The method comprises transmitting one or more first pulses of a first frequency range towards a first portion of a seabed and one or more second pulses of a second frequency range towards a second portion of the seabed, and receiving a first set and second set of backscattered data. The method further includes processing the first and second set of backscattered data to form a first and second set of image data and comparing the first set and second set of image data. The method further includes creating one or more error vectors between the first set and second set of image data, and updating the first set of backscattered data based on the one or more error vectors to produce an updated set of image data.