Techniques are discussed herein for analyzing radar data to determine that radar noise from one or more target detections potentially conceals additional objects near the target detection. Determining whether an object may be concealed can be based at least in part on a radar noise level based on a target detection, as well as distributions of radar cross sections and/or doppler data associated with particular object types. For a location near a target detection, a radar system may determine estimated noise levels, and compare the estimated noise levels to radar cross section probabilities associated with object types to determine the likelihood that an object of the object type could be concealed at the location. Based on the analysis, the system may determine a vehicle trajectory or otherwise may control a vehicle based on the likelihood that an object may be concealed at the location.

Techniques are discussed herein for analyzing radar data to determine that radar noise from one or more target detections potentially conceals additional objects near the target detection. Determining whether an object may be concealed can be based at least in part on a radar noise level based on a target detection, as well as distributions of radar cross sections and/or doppler data associated with particular object types. For a location near a target detection, a radar system may determine estimated noise levels, and compare the estimated noise levels to radar cross section probabilities associated with object types to determine the likelihood that an object of the object type could be concealed at the location. Based on the analysis, the system may determine a vehicle trajectory or otherwise may control a vehicle based on the likelihood that an object may be concealed at the location.

Techniques are disclosed for systems and methods to provide visually correlated radar imagery for mobile structures. A visually correlated radar imagery system includes a radar system, an imaging device, and a logic device configured to communicate with the radar system and imaging device. The radar system is adapted to be mounted to a mobile structure, and the imaging device may include an imager position and/or orientation sensor (IPOS). The logic device is configured to determine a horizontal field of view (FOV) of image data captured by the imaging device and to render radar data that is visually or spatially correlated to the image data based, at least in part, on the determined horizontal FOV. Subsequent user input and/or the sonar data may be used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the mobile structure.

A ground penetrating radar and deep learning-based underground pipeline detection method and system. Said method comprises: acquiring sample data of known underground pipelines by means of a ground penetrating radar, and establishing an GPR B-scan dataset according to the sample data; performing training according to the GPR B-scan dataset to obtain a YOLOv3 model, the YOLOv3 model being used for identifying hyperbolic data of the underground pipelines; detecting underground pipeline targets in a real radar image by means of the YOLOv3 model; and precisely locating the positions of pipelines by means of an RTK measurement instrument. Said method is based on a ground penetrating radar and a YOLOv3 model, and can accurately identify hyperbolic targets of pipelines in ground penetrating radar images, thereby improving the detection efficiency and reducing time costs. The present invention can be widely applied to the field of engineering non-destructive testing.

A system for rendering flight path specific weather information receives mid-to-long range weather information and one or more flight paths. The weather information corresponding to each of the flight paths is segregated and divided into portions that may be rendered separately on a secondary display, reorganized to be enlarged to occupy the secondary display. Indicators of the aircraft location and destination are maintained on the secondary display with respect to the divided, reorganized flight paths. Each divided, reorganized flight path segment includes an artifice at a peripheral portion indicating where the flight path segments should be rejoined. Multiple flight paths may be processed and rendered to provide a detailed view of each path for pilot consideration.

An object is to enable measurement of position and velocity of a measurement object.

A velocity measurement device includes a transmitting means, a receiving means, and a signal processing means. The transmitting means transmits a transmission signal by a transmitting antenna toward a measurement object. The receiving means receives a reflected wave from the measurement object with multiple receiving antennas and generates a reception signal for each of the receiving antennas. The signal processing means obtains a phase plane of the reflected wave with respect to an antenna plane of the multiple receiving antennas from a phase difference between the reception signals to specify an arrival direction of the reflected wave, obtains a distance to the measurement object from a propagation delay time of the reflected wave, and calculates a phase fluctuation of the reflected wave to calculate a velocity of the measurement object from the phase fluctuation.

A driver alert system is configured to provide combined visual and audible spatial warnings. The system can include an object detection system to provide the location of at least one object relative to a vehicle, an audible output system including a plurality of speaker units, and a display unit. A control unit of the system can determine location of objects and generate combined visual and audible spatial warnings. Output of the combined visual and audible spatial warning can be controlled to output an audible alert indicating the location of the object relative to the vehicle passenger, and control a display unit to present a particle display output indicating the location of the object relative to the vehicle passenger. The system may include processes for control of combined visual and audible spatial warnings to account for changes in object position and vehicle heading.

An enhanced vision method or a weather radar system can be used with an aircraft and includes an antenna and a control circuit. The control circuit is configured to provide radar beams via the antenna toward external surroundings and is configured to receive radar returns. The control circuit is configured to process a collection of radar measurements from the radar returns, wherein each of the radar measurements is associated with a location determined using an antenna position, an antenna attitude, a beam sharpening angle, and a range. The radar measurements are processed to determine power density per grid cell associated with the power and location of the radar measurements, and the power density per grid cell is used to provide an image associated with the power and location of the radar measurements.

Techniques are disclosed for systems and methods to provide visually correlated radar imagery for mobile structures. A visually correlated radar imagery system includes a radar system, an imaging device, and a logic device configured to communicate with the radar system and imaging device. The radar system is adapted to be mounted to a mobile structure, and the imaging device may include an imager position and/or orientation sensor (IPOS). The logic device is configured to determine a horizontal field of view (FOV) of image data captured by the imaging device and to render radar data that is visually or spatially correlated to the image data based, at least in part, on the determined horizontal FOV. Subsequent user input and/or the sonar data may be used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the mobile structure.

An object is to enable measurement of position and velocity of a measurement object. A velocity measurement device includes a transmitting means, a receiving means, and a signal processing means. The transmitting means transmits a transmission signal by a transmitting antenna toward a measurement object. The receiving means receives a reflected wave from the measurement object with multiple receiving antennas and generates a reception signal for each of the receiving antennas. The signal processing means obtains a phase plane of the reflected wave with respect to an antenna plane of the multiple receiving antennas from a phase difference between the reception signals to specify an arrival direction of the reflected wave, obtains a distance to the measurement object from a propagation delay time of the reflected wave, and calculates a phase fluctuation of the reflected wave to calculate a velocity of the measurement object from the phase fluctuation.