Flir Belgium Bvba

Raymarine UK Limited

Flir Systems, Incorporated

Raymarine Limited

Teledyne Flir, LLC

Richard Jales

Mark Johnson

Paul Stokes

Mark Rivers

Christopher Daniel Gatland

Gordon Pope

Matthieu Maindrou

Andrew Lawrence

Aaron Ridout

Christopher Yeomans

Oliver Hawker

Chris Jones

Jay E Robinson

Peter Long

Stephen Tostevin

Neil R Owens

Marcelo Rull

Adam Murphy

Stuart Johnson

Thomas Bonfield

Peter A A Stewart

Stuart Mudge

Larry Yeomans

Chris Freeman

Stewart Lawton

Steve Tostevin

Natalie Holder

Paul S Chittenden

Philip Webb

Jean-Luc Kersulec

Paul S Chittendon

Nicholas Lester St Hill

Nicholas St Hill

Philippe Aston

Edward Hull

Andrew Mallion

Barnaby Norman Wilmott

Dorian Le Coz

Techniques are disclosed for systems and methods to provide remote sensing imagery for mobile structures. A remote sensing imagery system includes a radar assembly mounted to a mobile structure and a coupled logic device. The radar assembly includes an imaging system coupled to or within the radar assembly and configured to provide image data associated with the radar assembly. The logic device is configured to receive radar returns corresponding to a detected target from the radar assembly and image data corresponding to the radar returns from the imaging system, and then generate radar image data based on the radar returns and the image data. Subsequent user input and/or the sensor data may be used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the mobile structure.

Radar and colocated camera systems and methods

Techniques are disclosed for systems and methods to provide remote sensing imagery for mobile structures. A remote sensing imagery system includes a radar assembly mounted to a mobile structure and a coupled logic device. The radar assembly includes an orientation and position sensor (OPS) coupled to or within the radar assembly and configured to provide orientation and position data associated with the radar assembly. The logic device is configured to receive radar returns corresponding to a detected target from the radar assembly and orientation and/or position data corresponding to the radar returns from the OPS, determine a target radial speed corresponding to the detected target, and then generate remote sensor image data based on the remote sensor returns and the target radial speed. Subsequent user input and/or the sensor data may be used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the mobile structure.

Enhanced doppler radar systems and methods

Techniques are disclosed for systems and methods to provide wildlife feeding flock detection using a remote sensing imagery system. A remote sensing imagery system includes a radar assembly mounted to a mobile structure and a coupled logic device. The logic device is configured to receive radar returns corresponding to a detected target, determine a radial velocity spectrum associated with the detected target based, at least in part, on the received radar returns, and determine a probability the detected target includes a feeding flock based, at least in part, on the determined radial velocity spectrum. The logic device may generate radar image data based on the received radar returns, the determined radial velocity spectrum, and/or the probability the detected target includes the feeding flock. Subsequent user input and/or the sensor data may be used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the mobile structure.

Doppler radar flock detection systems and methods

Techniques are disclosed for systems and methods for video based sensor fusion with respect to mobile structures. A mobile structure may include at least one imaging module and multiple navigational sensors and/or receive navigational data from various sources. A navigational database may be generated that includes data from the imaging module, navigational sensors, and/or other sources. Aspects of the navigational database may then be used to generate an integrated model, forecast weather conditions, warn of dangers, identify hard to spot items, and generally aid in the navigation of the mobile structure.

Video sensor fusion and model based virtual and augmented reality systems and methods

Techniques are disclosed for systems and methods to provide graphical user interfaces for assisted and/or autonomous navigation for mobile structures. A navigation assist system includes a user interface for a mobile structure comprising a display and a logic device configured to communicate with the user interface and render a docking user interface on the display. The logic device is configured to monitor control signals for a navigation control system for the mobile structure and render the docking user interface based, at least in part, on the monitored control signals. The docking user interface includes a maneuvering guide with a mobile structure perimeter indicator, an obstruction map, and a translational thrust indicator configured to indicate a translational maneuvering thrust magnitude and direction relative to an orientation of the mobile structure perimeter indicator.

Assisted docking graphical user interface systems and methods

Techniques are disclosed for systems and methods to provide remote sensing imagery for mobile structures. A remote sensing imagery system includes a remote sensing assembly with a housing mounted to a mobile structure and a coupled logic device. The logic device is configured to receive radar returns corresponding to a detected target from the radar assembly, determine a target radial speed corresponding to the detected target, determine an adaptive target speed threshold, and then generate remote sensor image data based on the remote sensor returns, the target radial speed, and the adaptive target speed threshold. Subsequent user input and/or the sensor data may be used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the mobile structure.

Adaptive doppler radar systems and methods

Techniques are disclosed for systems and methods to provide docking assist for mobile structures. A docking assist system includes a logic device, one or more sensors, one or more actuators/controllers, and modules to interface with users, sensors, actuators, and/or other modules of a mobile structure. The logic device is adapted to receive docking assist parameters from a user interface for the mobile structure and perimeter sensor data from a perimeter ranging system mounted to the mobile structure. The logic device determines docking assist control signals based, at least in part, on the docking assist parameters and perimeter sensor data, and it then provides the docking assist control signals to a navigation control system for the mobile structure. Control signals 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.

Autonomous and assisted docking systems and methods

Techniques are disclosed for systems and methods to provide perimeter ranging for navigation of mobile structures. A navigation control system includes a logic device, a perimeter ranging sensor, one or more actuators/controllers, and modules to interface with users, sensors, actuators, and/or other elements of a mobile structure. The logic device is configured to receive perimeter sensor data from the perimeter ranging system. The logic device determines a range to and/or a relative velocity of a navigation hazard disposed within a monitoring perimeter of the perimeter ranging system based on the received perimeter sensor data. The logic device then generates a display view of the perimeter sensor data or determines navigation control signals based on the range and/or relative velocity of the navigation hazard. Control signals 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.

Perimeter ranging sensor systems and methods

Techniques are disclosed for systems and methods for sensor fusion with respect to mobile structures. A mobile structure may include multiple ranging sensor systems and/or receive navigational data from various sensors. A navigational database may be generated that includes data from the ranging sensor systems and/or other sensors. Aspects of the navigational database may then be used to generate an integrated model, which can be used to generally aid in the navigation of the mobile structure.

Sonar sensor fusion and model based virtual and augmented reality systems and methods

Techniques are disclosed for systems and methods for providing a fused image that combines image data of a scene received from an imaging system with a chart to aid in the navigation of a mobile structure. Specifically, the fused image may be generated by superimposing various image elements extracted from an image onto various locations on the chart that correlate to the actual positions of the objects within the scene. In some embodiments, one or more non-water objects may be detected within the image, image representations of the non-water objects may be extracted from the image feed, and the extracted image representations may be superimposed onto locations on the chart that are determined to correlate to the actual positions of the non-water objects within the scene.

Video and image chart fusion systems and methods

Techniques are disclosed for detection and ranging systems and methods to improve range resolution, target separation, and reliability. A method includes selectively attenuating a signal representing a ranging system return or echo from targets so as to suppress side lobes or other undesirable artifacts appearing in the signal due to noise, interference, and/or distortion. A method may additionally or alternatively include rejecting interference events in ranging system returns by comparing a received return with that expected from a target illuminated by the ranging system, as determined by characteristics of its particular ranging sensor, and rejecting or attenuating returns or portions of returns that fail to match those characteristics in time or space. A system configured to perform such methods and comprising a transducer/antenna, a transceiver, a controller, and/or other logic devices implementing a pulse generator, correlator, selective attenuator, comparator, buffer, subtractor, and/or output circuit is also disclosed.

Detection and ranging systems and methods

Systems and methods for automatically controlling the bias in a pulsed power amplifier include components for measuring the current in an amplifier, comparing the measured value with the desired value, modifying the bias, and controlling the bias applied to the power amplifier. A measurement circuit converts the measured current to a voltage, and a comparator compares a measured voltage with a reference voltage to continuously indicate whether the amplifier current is less than a desired quiescent value. A circuit controls the level of the gate-bias (Vg) during a pulse, such as with a pulse width modulator. The measurement of the amplifier current is registered after the bias is enabled, but before the signal pulse. Drive control logic implements a control algorithm for adjusting the gate value in between pulses and in time to be used for the next pulse.

Automatic bias controller for a pulsed power amplifier

Techniques are disclosed for systems and methods to provide orientation and/or position data from an orientation and/or position sensor (OPS) while it is rotating. A system includes a logic device configured to communicate with an OPS that is rotationally coupled to a mobile structure. The logic device is configured to receive orientation and/or position data from the OPS while the OPS is rotating relative to the mobile structure and determine rotationally corrected orientation and/or position data referenced to the mobile structure, a rotationally actuated sensor assembly mounted to the mobile structure, and/or an absolute coordinate frame.

Rotating attitude heading reference systems and methods

Growing community of inventors

Eastleigh, United Kingdom

Richard Jales