Abstract: There is provided a method of matching features depicted in images, comprising: detecting a first object depicted in a first image, projecting a first epipolar line, from the first object of the first image, to a second image, selecting second objects along the first epipolar line of the second image, projecting second epipolar lines, from the second objects of the second image, to a third image, projecting a third epipolar line from the first object of the first image to the third image, identifying on the third image, a third object along an intersection of the third epipolar line and a certain second epipolar line of the second epipolar lines, and generating an indication of the first object depicted in first image and the third object depicted in the third image as matches of a same physical object.

Abstract: The subject matter discloses a method of asset change detection using images, the method comprising steps executed by processing circuitry, the steps comprising: receiving at least one image of an asset captured by an image capturing device; receiving at least one attribute of a task of detecting a change in the asset using the received at least one image, at least one of the at least one attribute being one of the group consisting of: an attribute measured by a sensor, an attribute extracted from a website, an attribute retrieved from a database, an attribute input by a user, and an attribute encoded in computer code; selecting a reference image among a plurality of reference images of the asset according to at least one criterion based on the received at least one attribute of the task of detecting the change in the asset; computing an asset-difference pixel map, using the selected reference image and the image captured by the image capturing device; and detecting the change in the asset, using the computed

Abstract: There is provided a method of automatically landing a drone on a landing pad having thereon guiding-elements arranged in a pattern relative to a central region of the landing pad, comprising: receiving first image(s) captured by a camera of the drone, processing the first image(s) to compute a segmentation mask according to an estimate of a location of the landing pad, receiving second image(s) captured by the camera, processing the second image(s) according to the segmentation mask to compute a segmented region and extracting from the segmented region guiding-element(s), determining a vector for each of the extracted guiding-element(s), and aggregating the vectors to compute an estimated location of the central region of the landing pad, and navigating and landing the drone on the landing pad according to the estimated location of the central region of the landing pad.

Abstract: Disclosed herein are methods and systems for automatically selecting and operating autonomous vehicles to acquire inspection data relating to one or more inspected assets in response to received inspection request indicating the inspected assets. In particular, based on the inspection request required inspection data is automatically determined by analyzing one or more structural models representing the inspected asset(s) and mission parameters are computed for an inspection mission for acquiring the inspection data. Operational parameters of a plurality of autonomous vehicles are then analyzed with respect to the computed mission parameters to identify one or more autonomous vehicles which are capable of acquiring the inspection data. Operation instructions are further computed for one or more capable autonomous vehicles selected for the inspection mission to acquire the required inspection data and transmitted for operating the selected capable autonomous vehicle(s) accordingly.

Abstract: An unmanned aerial vehicle (UAV) ground station, comprising: a landing surface having a perimeter and a center; a plurality of pushers held above the landing surface by a plurality of linear actuators; at least one electro-mechanical connector attached to one of the plurality of pushers, mechanically adapted to be electrically connected to a compatible electro-mechanical connector of a UAV; and a landing detection controller adapted to instruct the plurality of linear actuators to move the plurality of pushers simultaneously from the perimeter toward the center when a landing event related to the UAV is detected.

Abstract: A method for emulating control signals for controlling an unmanned aerial vehicle (UAV). The method comprises using an integrated circuit installed on the UAV and communicatively coupled to a flight control processor and a companion processor for receiving flight control parameters from the companion processor, the flight control parameters are based data from a plurality of sensors communicatively coupled to the companion processor and mounted on the UAV, wirelessly receiving remote control signals from a remote control unit, modulating the flight control parameters to create emulated signals emulating a signals generated by a remote control designated to wirelessly control the UAV, the emulated signals encode instructions to maneuver the UAV, and switching between the remote control signals and the emulated signals during a flight time of the UAV.

Abstract: There is provided a method of automatically landing a drone on a landing pad having thereon guiding-elements arranged in a pattern relative to a central region of the landing pad, comprising: receiving first image(s) captured by a camera of the drone, processing the first image(s) to compute a segmentation mask according to an estimate of a location of the landing pad, receiving second image(s) captured by the camera, processing the second image(s) according to the segmentation mask to compute a segmented region and extracting from the segmented region guiding-element(s), determining a vector for each of the extracted guiding-element(s), and aggregating the vectors to compute an estimated location of the central region of the landing pad, and navigating and landing the drone on the landing pad according to the estimated location of the central region of the landing pad.

Abstract: An unmanned aerial vehicle (UAV) ground station, comprising: a landing surface having a perimeter and a center; a plurality of pushers held above the landing surface by a plurality of linear actuators; at least one electro-mechanical connector attached to one of the plurality of pushers, mechanically adapted to be electrically connected to a compatible electro-mechanical connector of a UAV; and a landing detection controller adapted to instruct the plurality of linear actuators to move the plurality of pushers simultaneously from the perimeter toward the center when a landing event related to the UAV is detected.

Abstract: There is provided a method of automatically landing a drone on a landing pad having thereon guiding-elements arranged in a pattern relative to a central region of the landing pad, comprising: receiving first image(s) captured by a camera of the drone, processing the first image(s) to compute a segmentation mask according to an estimate of a location of the landing pad, receiving second image(s) captured by the camera, processing the second image(s) according to the segmentation mask to compute a segmented region and extracting from the segmented region guiding-element(s), determining a vector for each of the extracted guiding-element(s), and aggregating the vectors to compute an estimated location of the central region of the landing pad, and navigating and landing the drone on the landing pad according to the estimated location of the central region of the landing pad.

Abstract: An unmanned aerial vehicle (UAV) ground station, comprising: a landing surface having a perimeter and a center; a plurality of pushers held above the landing surface by a plurality of linear actuators; at least one electro-mechanical connector attached to one of the plurality of pushers, mechanically adapted to be electrically connected to a compatible electro-mechanical connector of a UAV; and a landing detection controller adapted to instruct the plurality of linear actuators to move the plurality of pushers simultaneously from the perimeter toward the center when a landing event related to the UAV is detected.