A method for controlling movement of an unmanned aerial vehicle (UAV) includes controlling one or more propulsion units of the UVA to cause the UAV to operate according to a first set of altitude restrictions; assessing, with aid of the one or more processors and based on one or more criteria, whether to control the UAV to operate according to a second set of altitude restrictions; and controlling the one or more propulsion units to cause the UAV to operate according to the second set of altitude restrictions in response to the one or more criteria being fulfilled according to an assessing result. The first set of altitude restrictions constrain an altitude of the UAV relative to a first reference altitude. The second set of altitude restrictions constrain the altitude of the UAV relative to a second reference altitude.

There is disclosed a meteorological observation device for observing weather in an Atmospheric Boundary Layer or a Planetary Boundary Layer, comprising: a basic observation unit and one or more additional observation units which are connected directly or indirectly to the basic observation unit; a storage box whose inner space is compartmentalized to form a plurality of grids, wherein the grids include 1-st type cells, each of which holds the basic observation unit and each of the one or more additional observation units and 2-nd type cells, each of which forms 1-st sub space for holding a basic wire and 2-nd sub space for holding each of additional wires, wherein a size of each of the 2-nd type cells is determined as a size of each of the 1-st type cells.

Systems, methods, and apparatuses described herein may provide image processing, including displaying, by a mobile device, an image of an object located perpendicular to a reference object, calculating, based on at least one depth measurement determined using a depth sensor in the mobile device, the predicted height of the mobile device when the image was captured, calculating scale data for the image based on the predicted height, determining a reference line identifying the location of the object and the reference object in the image, segmenting pixels in the object in the image from pixels in the image outside the object, measuring the object based on the pixels in the object and the scale data, and generating model data comprising the object, the scale data, and the measurements.

Systems, methods, and apparatuses described herein may provide image processing, including displaying, by a mobile device, an image of an object located perpendicular to a reference object, calculating, based on at least one depth measurement determined using a depth sensor in the mobile device, the predicted height of the mobile device when the image was captured, calculating scale data for the image based on the predicted height, determining a reference line identifying the location of the object and the reference object in the image, segmenting pixels in the object in the image from pixels in the image outside the object, measuring the object based on the pixels in the object and the scale data, and generating model data comprising the object, the scale data, and the measurements.

Systems and methods are disclosed that include fault monitoring for a radar altitude device. Fault monitoring is performed by receiving first altitude data from the radar altitude device, receiving second altitude data from a second altitude measuring device, receiving terrain data from a terrain database, determining a fault condition threshold adaptively based on the terrain data, determining whether the radar altitude device is exhibiting a fault condition based on the first and second altitude data and the fault condition threshold, and outputting an indication of the fault condition based on the determination of whether the radar altitude device is exhibiting the fault condition.

Apparatus and associated methods relate to a smart hook, a safety harness module, and associated electronic components that detect a safety state of a user by monitoring various parameters at the smart hook and safety harness module and determining whether the user is using proper safety protocol at extreme heights and/or whether the user has experienced a height-related accident. In an illustrative example, the user may don a safety harness that may include a module that contains sensors that monitor an acceleration/velocity/position of the user and/or ambient air pressure around the user. The module may receive wireless signals from at least one rebar hook having sensors that monitor the acceleration/velocity/position and gate position of the rebar hooks. A controller included with the safety harness module may use these sensors to advantageously determine the safety state of the user and generate alert/warning signals.

Apparatus and associated methods relate to a smart hook, a safety harness module, and associated electronic components that detect a safety state of a user by monitoring various parameters at the smart hook and safety harness module and determining whether the user is using proper safety protocol at extreme heights and/or whether the user has experienced a height-related accident. In an illustrative example, the user may don a safety harness that may include a module that contains sensors that monitor an acceleration/velocity/position of the user and/or ambient air pressure around the user. The module may receive wireless signals from at least one rebar hook having sensors that monitor the acceleration/velocity/position and gate position of the rebar hooks. A controller included with the safety harness module may use these sensors to advantageously determine the safety state of the user and generate alert/warning signals.

A geoid calculation data is collected easily. A geoid calculation data collection device of the present invention comprises an inertial measurement data acquisition part, a comparison data acquisition part, and a recording part. In the inertial measurement data acquisition part, data related to velocity, position, and attitude angle is acquired as inertially-derived data based on an output of an inertial measurement part having a three-axis gyro and a three-axis accelerometer attached to a moving body. In the comparison data acquisition part, data related to velocity is acquired as comparison data from a source other than the inertial measurement part. In the recording part, inertially-derived data and comparison data are recorded in association with each other. In the inertial measurement part, a bias stability is acquired that allows error arising from plumb line deviation to be distinguished to a predetermined degree.

Examples are provided that use multiple analog-to-digital converters (ADCs) to disambiguate FMCW ladar range returns from one or more targets that may be greater than the Nyquist frequencies of one or more of the ADCs. Examples are also provided that use a first and a second laser FMCW return signal (e.g., reflected beam) in combination with two or more ADCs to disambiguate one or more target ranges (e.g., distances to one or more objects).

Systems and methods are disclosed that include fault monitoring for a radar altitude device. Fault monitoring is performed by receiving first altitude data from the radar altitude device, receiving second altitude data from a second altitude measuring device, receiving terrain data from a terrain database, determining a fault condition threshold adaptively based on the terrain data, determining whether the radar altitude device is exhibiting a fault condition based on the first and second altitude data and the fault condition threshold, and outputting an indication of the fault condition based on the determination of whether the radar altitude device is exhibiting the fault condition.