A method and a system for detecting wire or wire-like obstacles, which method and system are designed for an aircraft. The system for detecting wire or wire-like obstacles comprises a detection device, such as a video camera or a LIDAR device, a computer and a display device. The method includes a step of detecting at least one pylon in the surrounding environment of the aircraft via a detection device, a step of identifying a family of pylons to which each detected pylon corresponds, a step of characterizing at least one cable supported by the at least one detected pylon, and a step of determining a prohibited zone that can potentially contain each pylon and each cable and a safe zone not containing either a pylon or a cable. The prohibited zone and the safe zone may be displayed on the display device.

A method for identifying a trajectory between rows of a plantation using a radar interfaced with a processing means of an agricultural vehicle includes acquisition of an approximate distance between two consecutive rows of the plantation, acquisition of signals by the radar, processing of the signals to obtain a two-dimensional map of points corresponding to reflections picked up by the radar. The method further includes first linear interpolation to obtain a first interpolating line on the points of greatest intensity, second windowing of an elongated area of the two-dimensional map having an axis of development approximately parallel to the first interpolating line and at the approximate distance from the first interpolating line, second linear interpolation of a second interpolating line on points of greater intensity in the windowed area, and calculation of a trajectory parallel and intermediate between the first and second interpolating line.

A method for identifying a trajectory between rows of a plantation using a radar interfaced with a processing means of an agricultural vehicle includes acquisition of an approximate distance between two consecutive rows of the plantation, acquisition of signals by the radar, processing of the signals to obtain a two-dimensional map of points corresponding to reflections picked up by the radar. The method further includes first linear interpolation to obtain a first interpolating line on the points of greatest intensity, second windowing of an elongated area of the two-dimensional map having an axis of development approximately parallel to the first interpolating line and at the approximate distance from the first interpolating line, second linear interpolation of a second interpolating line on points of greater intensity in the windowed area, and calculation of a trajectory parallel and intermediate between the first and second interpolating line.

An electronic device may include a voltage standing wave ratio (VSWR) sensor disposed along a radio-frequency transmission line between a signal generator and an antenna. The VSWR sensor may gather VSWR measurements from radio-frequency signals transmitted by the signal generator over the transmission line. Control circuitry may identify a variation in the VSWR measurements over time and may compare the variation to a threshold value to determine whether an external object in the vicinity of the antenna is animate or inanimate. The control circuitry may reduce the maximum transmit power level of the antenna when the external object is animate and may maintain or increase the maximum transmit power level when the external object is inanimate. This may serve to maximize the wireless performance of the electronic device while also ensuring that the device complies with regulatory limits on radio-frequency energy exposure.

An electronic device may include a voltage standing wave ratio (VSWR) sensor disposed along a radio-frequency transmission line between a signal generator and an antenna. The VSWR sensor may gather VSWR measurements from radio-frequency signals transmitted by the signal generator over the transmission line. Control circuitry may identify a variation in the VSWR measurements over time and may compare the variation to a threshold value to determine whether an external object in the vicinity of the antenna is animate or inanimate. The control circuitry may reduce the maximum transmit power level of the antenna when the external object is animate and may maintain or increase the maximum transmit power level when the external object is inanimate. This may serve to maximize the wireless performance of the electronic device while also ensuring that the device complies with regulatory limits on radio-frequency energy exposure.

The present invention provides an on-line real-time diagnosis system and method for wind turbine blade (WTB) damage. The system includes a four-rotor unmanned aerial vehicle (UAV), a cloud database, and a computer system. The four-rotor UAV captures images of WTBs in real time, and transmits the images to the computer system. The cloud database stores an image library used for a Visual Geometry Group (VGG)-19 net image classification method, where an image in the image library stored in the cloud database is dynamically captured from a network. The computer system is used to perform training by using the image library to obtain an improved VGG-19 net image classification method, and classify, by using the improved VGG-19 net image classification method, the images of the WTBs received from the four-rotor UAV, to obtain a WTB damage diagnosis and classification result and a damage grading result.

The present invention provides an on-line real-time diagnosis system and method for wind turbine blade (WTB) damage. The system includes a four-rotor unmanned aerial vehicle (UAV), a cloud database, and a computer system. The four-rotor UAV captures images of WTBs in real time, and transmits the images to the computer system. The cloud database stores an image library used for a Visual Geometry Group (VGG)-19 net image classification method, where an image in the image library stored in the cloud database is dynamically captured from a network. The computer system is used to perform training by using the image library to obtain an improved VGG-19 net image classification method, and classify, by using the improved VGG-19 net image classification method, the images of the WTBs received from the four-rotor UAV, to obtain a WTB damage diagnosis and classification result and a damage grading result.

Methods and systems for generating a composite image in remote sensing applications are described. In an example, a device can receive an image having a plurality of points specified in an image space. The device can extract a portion of the image and transform points among the extracted portion from the image space to a parameter space defined by a distance parameter and an orientation parameter. The device can identify a set of intersection points in the parameter space that indicate at least one occurrence of a geometry feature in the extracted portion of the image. The device can augment the portion of the image with a plurality of new pixels based on the identified set of intersection points. The device can generate a composite image using the augmented image, where the composite image can include a plurality of augmented images corresponding to other portions of the image.

Methods and systems for generating a composite image in remote sensing applications are described. In an example, a device can receive an image having a plurality of points specified in an image space. The device can extract a portion of the image and transform points among the extracted portion from the image space to a parameter space defined by a distance parameter and an orientation parameter. The device can identify a set of intersection points in the parameter space that indicate at least one occurrence of a geometry feature in the extracted portion of the image. The device can augment the portion of the image with a plurality of new pixels based on the identified set of intersection points. The device can generate a composite image using the augmented image, where the composite image can include a plurality of augmented images corresponding to other portions of the image.

An object recognition system of the present disclosure includes: a light source section that irradiates a subject with dot light having a predetermined pattern; an event detection sensor that receives the dot light having the predetermined pattern reflected by the subject and detects, as an event, that a change in luminance of a pixel exceeds a predetermined threshold; and a signal processor that performs, in a case where a plurality of successive pixels in a pixel array section of the event detection sensor detects occurrence of an event in a certain period, processing of removing the event as noise, the plurality of successive pixels being equal to or greater than a predetermined number of pixels.