An information processing device 1 includes a motion acquisition unit 22 for acquiring a motion magnitude for each of a plurality of image elements included in a plurality of captured images, a threshold determination unit 23 for determining a threshold used to exclude image elements not to be included in a histogram showing a distribution of the motion magnitudes of the image elements, a histogram creation unit 24 for creating the histogram with respect to image elements, among the plurality of image elements, excluding image elements having motion magnitudes that exceed the threshold, a range estimation unit 25 for referring to the histogram in order to estimate a motion magnitude range corresponding to image elements capturing a predetermined part of the imaging subject, the predetermined part being within a predetermined distance range of an imaging position, and an image element specification unit 26 for specifying the image elements capturing the predetermined part by specifying the image elements belonging to the estimated range.

A tail sitter aircraft includes a wing with a closed front section and a fuselage, from which the wing extends. The wing includes a first portion projecting from the fuselage and a second portion spaced from the first portion. The aircraft includes first and second connecting section that are interposed between the first and second portions. The fuselage extends parallel to a first axis and the first and second portions extend parallel to a second axis orthogonal to the first axis. The first axis is arranged, in use, vertically in a take-off/landing position and inclined with respect to the vertical direction in a cruising position.

A tail sitter aircraft includes a wing with a closed front section and a fuselage, from which the wing extends. The wing includes a first portion projecting from the fuselage and a second portion spaced from the first portion. The aircraft includes first and second connecting section that are interposed between the first and second portions. The fuselage extends parallel to a first axis and the first and second portions extend parallel to a second axis orthogonal to the first axis. The first axis is arranged, in use, vertically in a take-off/landing position and inclined with respect to the vertical direction in a cruising position.

A remote drone control system includes a pilot endpoint system comprising a pilot endpoint and a controller connected to the pilot endpoint. The remote drone control system includes a control endpoint system including a control endpoint, a signal adaptor connected to the control endpoint, and a transmitter connected to the signal adaptor. A drone is arranged to communicate with the transmitter to receive and send drone operating data to the control endpoint system. The drone is also arranged to communicate drone video data to the control endpoint system. A remote bridge including a server is arranged to connect the pilot endpoint and the control endpoint such that data is communicated amongst the pilot endpoint, control endpoint, and drone in real-time.

A remote drone control system includes a pilot endpoint system comprising a pilot endpoint and a controller connected to the pilot endpoint. The remote drone control system includes a control endpoint system including a control endpoint, a signal adaptor connected to the control endpoint, and a transmitter connected to the signal adaptor. A drone is arranged to communicate with the transmitter to receive and send drone operating data to the control endpoint system. The drone is also arranged to communicate drone video data to the control endpoint system. A remote bridge including a server is arranged to connect the pilot endpoint and the control endpoint such that data is communicated amongst the pilot endpoint, control endpoint, and drone in real-time.

A vital sign monitoring system using an optical sensor is provided. The vital sign monitoring system, and related methods and devices described herein, is equipped with a camera or other optical sensor to remotely detect and measure one or more physiological parameters (e.g., vital signs) of a subject. For example, the vital sign monitoring system can detect, measure, and/or monitor heart rates and respiration rates from one or multiple subjects simultaneously using advanced signal processing techniques, including adaptive color beamforming to more accurately detect and measure the vital sign(s) of interest.

Described herein is a fully autonomous drone-based track inspection system that does not rely on GPS but instead uses optical images taken from the drone to identify the railroad track and navigate the drone to cruise along the track to perform track inspection tasks; track images are taken by the onboard drone camera and processed to provide both navigation information for autonomous drone flight control and track component health evaluation.

Described herein is a fully autonomous drone-based track inspection system that does not rely on GPS but instead uses optical images taken from the drone to identify the railroad track and navigate the drone to cruise along the track to perform track inspection tasks; track images are taken by the onboard drone camera and processed to provide both navigation information for autonomous drone flight control and track component health evaluation.

A system with a first mobile entity and second mobile entities is described. The system implements an approach where the second mobile entities are commanded to move along a predetermined trajectory to protect the first mobile entity from external threats.

A system with a first mobile entity and second mobile entities is described. The system implements an approach where the second mobile entities are commanded to move along a predetermined trajectory to protect the first mobile entity from external threats.