A method and system for determining flight height of an unmanned aerial vehicle (UAV) includes a determining device that includes a camera at bottom of the UAV carried on a three-axis self-stabilizing tripod head; and a carrier phase difference satellite positioning system (CPDSPS), a graphics processing computer (GPC) and a power supply system provided on top of the UAV The GPC is connected with the CPDSPS, the power supply system and the camera, respectively. An attitude and heading reference system (AHRS) is provided at the bottom of the three-axis self-stabilizing tripod head and connected with the GPC The GPC is configured to determine relative height of the UAV from a canopy of farmland surface crops according to position information acquired by the CPDSPS, attitude information acquired by the AHRS and ground orthographic image acquired by the camera, and determine flight height of the UAV according to the relative height.

A method and system for determining flight height of an unmanned aerial vehicle (UAV) includes a determining device that includes a camera at bottom of the UAV carried on a three-axis self-stabilizing tripod head; and a carrier phase difference satellite positioning system (CPDSPS), a graphics processing computer (GPC) and a power supply system provided on top of the UAV The GPC is connected with the CPDSPS, the power supply system and the camera, respectively. An attitude and heading reference system (AHRS) is provided at the bottom of the three-axis self-stabilizing tripod head and connected with the GPC The GPC is configured to determine relative height of the UAV from a canopy of farmland surface crops according to position information acquired by the CPDSPS, attitude information acquired by the AHRS and ground orthographic image acquired by the camera, and determine flight height of the UAV according to the relative height.

Provided is a surveying instrument including a measuring unit including a tilt sensor configured to acquire tilt angle data of the instrument, and an environment sensor to acquire environment data correlating with a leveling time and leveling accuracy, a leveling unit including a leveling drive unit and configured to level the instrument, an arithmetic control unit configured to control the measuring unit and the leveling unit, and a storage unit configured to store the environment data, leveling result data of the leveling unit, and information on leveling operation conditions. The storage unit has surveying instrument-specific information. The arithmetic control unit predicts optimum leveling conditions based on results of machine learning of optimum leveling conditions by using the environment data, the leveling result data, the information on leveling operation conditions, and the surveying instrument-specific information as learning data to modify a leveling program so as to realize the optimum leveling conditions.

Provided is a surveying instrument including a measuring unit including a tilt sensor configured to acquire tilt angle data of the instrument, and an environment sensor to acquire environment data correlating with a leveling time and leveling accuracy, a leveling unit including a leveling drive unit and configured to level the instrument, an arithmetic control unit configured to control the measuring unit and the leveling unit, and a storage unit configured to store the environment data, leveling result data of the leveling unit, and information on leveling operation conditions. The storage unit has surveying instrument-specific information. The arithmetic control unit predicts optimum leveling conditions based on results of machine learning of optimum leveling conditions by using the environment data, the leveling result data, the information on leveling operation conditions, and the surveying instrument-specific information as learning data to modify a leveling program so as to realize the optimum leveling conditions.

A method and system for determining flight height of an unmanned aerial vehicle (UAV) includes a determining device that includes a camera at bottom of the is UAV carried on a three-axis self-stabilizing tripod head; and a carrier phase difference satellite positioning system (CPDSPS), a graphics processing computer (GPC) and a power supply system provided on top of the UAV The GPC is connected with the CPDSPS, the power supply system and the camera, respectively. An attitude and heading reference system (AHRS) is provided at the bottom of the three-axis self-stabilizing tripod head and connected with the GPC The GPC is configured to determine relative height of the UAV from a canopy of farmland surface crops according to position information acquired by the CPDSPS, attitude information acquired by the AHRS and ground orthographic image acquired by the camera, and determine flight height of the UAV according to the relative height.

A method and system for determining flight height of an unmanned aerial vehicle (UAV) includes a determining device that includes a camera at bottom of the is UAV carried on a three-axis self-stabilizing tripod head; and a carrier phase difference satellite positioning system (CPDSPS), a graphics processing computer (GPC) and a power supply system provided on top of the UAV The GPC is connected with the CPDSPS, the power supply system and the camera, respectively. An attitude and heading reference system (AHRS) is provided at the bottom of the three-axis self-stabilizing tripod head and connected with the GPC The GPC is configured to determine relative height of the UAV from a canopy of farmland surface crops according to position information acquired by the CPDSPS, attitude information acquired by the AHRS and ground orthographic image acquired by the camera, and determine flight height of the UAV according to the relative height.

The present invention provides a vehicle motion detecting apparatus that can satisfy a required detection accuracy with a simple architecture and at a low cost, and also maintain reliability of an applied external apparatus. The vehicle motion detecting apparatus 100 of the present invention has a motion detecting section 10 that detects a motion of a vehicle and a malfunction detecting section 20 that detects a malfunction of the motion detecting section 10, and is characterized in that the motion detecting section 10 is a 6-axis inertial sensor as the first multi-axis inertial sensor that is capable of detecting accelerations in directions of three axes and angular velocities about three axes.

Provided is a surveying instrument including a measuring unit including a tilt sensor configured to acquire tilt angle data of the instrument, and an environment sensor to acquire environment data correlating with a leveling time and leveling accuracy, a leveling unit including a leveling drive unit and configured to level the instrument, an arithmetic control unit configured to control the measuring unit and the leveling unit, and a storage unit configured to store the environment data, leveling result data of the leveling unit, and information on leveling operation conditions. The storage unit has surveying instrument-specific information. The arithmetic control unit predicts optimum leveling conditions based on results of machine learning of optimum leveling conditions by using the environment data, the leveling result data, the information on leveling operation conditions, and the surveying instrument-specific information as learning data to modify a leveling program so as to realize the optimum leveling conditions.

Provided is a surveying instrument including a measuring unit including a tilt sensor configured to acquire tilt angle data of the instrument, and an environment sensor to acquire environment data correlating with a leveling time and leveling accuracy, a leveling unit including a leveling drive unit and configured to level the instrument, an arithmetic control unit configured to control the measuring unit and the leveling unit, and a storage unit configured to store the environment data, leveling result data of the leveling unit, and information on leveling operation conditions. The storage unit has surveying instrument-specific information. The arithmetic control unit predicts optimum leveling conditions based on results of machine learning of optimum leveling conditions by using the environment data, the leveling result data, the information on leveling operation conditions, and the surveying instrument-specific information as learning data to modify a leveling program so as to realize the optimum leveling conditions.

An integrated auto-level and electronic rod reader is disclosed. In one embodiment, the integrated auto-level and electronic rod reader comprises a telescope and an image delivery device integrated with the auto-level which is configured for capturing an image of a standard grade rod visible through the telescope and a crosshair. Logic implemented by a processor automatically recognizes the crosshair, automatically compares the crosshair against a scale of the standard grade rod, and automatically determines an elevation of the standard grade rod based upon the comparing.