A flight imaging system and a method suitable where an unmanned flying object equipped with a visible camera and millimeter-wave radar is used, and a structure imaged by the visible camera and millimeter-wave radar mounted on the unmanned flying object are provided. A drone constituting the flight imaging system is equipped with a visible camera and a millimeter-wave radar. A processor of the drone performs control of the visible camera to capture a visible image of a surface layer of the structure, and control the millimeter-wave radar to transmit a millimeter wave toward the structure and receive a reflected wave of the millimeter wave from the structure, in a case of imaging the structure. During flight of the drone, the altitude of the drone is measured by an altitude meter mounted on the drone, altitude information indicating the measured altitude is acquired, and is used, in flying the drone.

A flight imaging system and a method suitable where an unmanned flying object equipped with a visible camera and millimeter-wave radar is used, and a structure imaged by the visible camera and millimeter-wave radar mounted on the unmanned flying object are provided. A drone constituting the flight imaging system is equipped with a visible camera and a millimeter-wave radar. A processor of the drone performs control of the visible camera to capture a visible image of a surface layer of the structure, and control the millimeter-wave radar to transmit a millimeter wave toward the structure and receive a reflected wave of the millimeter wave from the structure, in a case of imaging the structure. During flight of the drone, the altitude of the drone is measured by an altitude meter mounted on the drone, altitude information indicating the measured altitude is acquired, and is used, in flying the drone.

Systems, devices, and methods for stopping the rotation of propellers used in unmanned aerial vehicles (UAV) such as drones are disclosed. The propellers are stopped in response to detecting when beams of light adjacent the propellers are blocked.

A control method used in a system including a moving body and an imaging apparatus includes an acquisition step of acquiring factor information, including movement information related to the moving body, via the imaging apparatus, an adjustment step of adjusting a position of a moving mechanism that moves an image sensor or an imaging lens provided in the imaging apparatus, based on the factor information, an imaging step of imaging a subject by using the image sensor after the adjustment step is executed, and a correction step of correcting a shake applied to the image sensor or the imaging lens by using the moving mechanism in a case in which the imaging step is executed.

Systems and methods related to operating modes and video processing for mobile platforms are disclosed. In one example, a logic device of a mobile platform may receive, from a base station, a command comprising a selection of one of a plurality of operating modes for the mobile platform, where each operating mode is associated with a plurality of corresponding control operations. The logic device may execute the control operations associated with the selected operating mode in response to the command. A video processing device having a low latency pipeline may be implemented in the mobile platform to assist the mobile platform in conducting the operating modes such as by outputting real time video streaming and telemetry information for the mobile platform. Related devices and systems are also provided.

The present disclosure provides a method and a system for modelling a poor texture tunnel based on a vision-lidar coupling. The method includes: obtaining point cloud information collected by a depth camera, laser information collected by a lidar, and motion information of an unmanned aerial vehicle (UAV); generating a raster map based on the laser information, and obtaining pose information of the UAV based on the motion information; obtaining a map model through fusing the point cloud information, the raster map, and the pose information by a Bayesian fusion method; and correcting a latest map model by feature matching based on a previous map model.

The present disclosure provides a method and a system for modelling a poor texture tunnel based on a vision-lidar coupling. The method includes: obtaining point cloud information collected by a depth camera, laser information collected by a lidar, and motion information of an unmanned aerial vehicle (UAV); generating a raster map based on the laser information, and obtaining pose information of the UAV based on the motion information; obtaining a map model through fusing the point cloud information, the raster map, and the pose information by a Bayesian fusion method; and correcting a latest map model by feature matching based on a previous map model.

Disclosed are a system and method for aiming and/or guiding an interceptor Unmanned Aerial Vehicle to eliminate target Unmanned Aerial Vehicle, by holding the interceptor UAV to the direction of the target or by the use of a portable computer such as a table combined with the computer onboard camera and internal sensor to aim and guide the interceptor UAV toward the aerial threat by the operator. The UAV has a propulsion subsystem, imaging subsystem, flight sensors, and a computer processor that determine an intercept course for the UAV to the target using the sensors and the disable the target.

Disclosed are a system and method for aiming and/or guiding an interceptor Unmanned Aerial Vehicle to eliminate target Unmanned Aerial Vehicle, by holding the interceptor UAV to the direction of the target or by the use of a portable computer such as a table combined with the computer onboard camera and internal sensor to aim and guide the interceptor UAV toward the aerial threat by the operator. The UAV has a propulsion subsystem, imaging subsystem, flight sensors, and a computer processor that determine an intercept course for the UAV to the target using the sensors and the disable the target.

A self-balancing Two-Rotation Driving Mechanism (TRDM) uses parallelogram and has low weight, high load, high accuracy, quick response and good adaptation with multi equipment. A longitudinal rotation motor assembly is constrained fully with a base assembly and drives a longitudinal rotation assembly through connecting rod parallelogram. The lateral rotation motor assembly is assembled in the hub of a longitudinal rotation assembly and rotates an equipment clamping assembly in a lateral direction. Generally, the TRDM can drive equipment clamping assembly in two rotations, with longitudinal rotation in the range of ±45° and lateral rotation in range of ±20°. A rotation limitation is reached when limitation shafts touch the end of respective grooves.