An information processing apparatus includes an input interface, a processor, and an output interface. The input interface obtains observation data obtained from an observation space. The processor detects a detection target included in the observation data. The processor maps coordinates of the detected detection target as coordinates of a detection target in a virtual space, tracks a position and a velocity of a material point indicating the detection target in the virtual space, and maps coordinates of the tracked material point in the virtual space as coordinates in a display space. The processor sequentially observes a size of the detection target in the display space and estimates a size of a detection target at a present time on a basis of observed values of a size of a detection target at the present time and estimated values of a size of a past detection target. The output interface outputs output information based on the coordinates of the material point mapped to the display space and the estimated size of the detection target.

An information processing apparatus includes an input interface, a processor, and an output interface. The input interface obtains observation data obtained from an observation space. The processor detects a detection target included in the observation data. The processor maps coordinates of the detected detection target as coordinates of a detection target in a virtual space, tracks a position and a velocity of a material point indicating the detection target in the virtual space, and maps coordinates of the tracked material point in the virtual space as coordinates in a display space. The processor sequentially observes a size of the detection target in the display space and estimates a size of a detection target at a present time on a basis of observed values of a size of a detection target at the present time and estimated values of a size of a past detection target. The output interface outputs output information based on the coordinates of the material point mapped to the display space and the estimated size of the detection target.

A communication system for a vehicle comprises a mechanism for sensing a motion status of a vehicle, a control device, plurality of data acquisition sensors, and one or more alerting device activation circuits. The communication system is customizable with the plurality of data acquisition sensors and one or more alerting device activation circuits based upon the needs of the vehicle.

A system, apparatus, computer program product, and method use a convolutional neural network to auto-determine a first floor height (FFH) and a FFH elevation (FFE) of a building. The FFH, and FFE of the building are determined with respect to the terrain or surface of the parcel of land on which the building is located. In turn, by knowing the FFH and/or FFE of the building on the parcel, it is possible to use that information while performing a flood risk assessment to a property without requiring a personal inspection of the parcel by a human.

A system, apparatus, computer program product, and method use a convolutional neural network to auto-determine a first floor height (FFH) and a FFH elevation (FFE) of a building. The FFH, and FFE of the building are determined with respect to the terrain or surface of the parcel of land on which the building is located. In turn, by knowing the FFH and/or FFE of the building on the parcel, it is possible to use that information while performing a flood risk assessment to a property without requiring a personal inspection of the parcel by a human.

A surveying device for determining the position of a target, comprising a means for orienting a target axis of the surveying device towards the target point, an angle-measuring functionality for the highly precise detection of the orientation of the target axis, and evaluation means for data storage, a height measuring system for determining a height of the surveying device above the ground by means of triangulation, wherein the height measuring system comprises at least one laser plummet for emitting a laser beam along a standing axis of the surveying device onto a ground point, and a detection unit comprising a line sensor for detecting a diffuse backscattering of the laser beam, and wherein the height measuring system for determining a height of the surveying device above the ground point is designed based on a position of the diffuse backscattering on the line sensor.

A surveying device for determining the position of a target, comprising a means for orienting a target axis of the surveying device towards the target point, an angle-measuring functionality for the highly precise detection of the orientation of the target axis, and evaluation means for data storage, a height measuring system for determining a height of the surveying device above the ground by means of triangulation, wherein the height measuring system comprises at least one laser plummet for emitting a laser beam along a standing axis of the surveying device onto a ground point, and a detection unit comprising a line sensor for detecting a diffuse backscattering of the laser beam, and wherein the height measuring system for determining a height of the surveying device above the ground point is designed based on a position of the diffuse backscattering on the line sensor.

An air data probe (10) and associated method of method of measuring air data is disclosed. The air data probe includes a plurality of air pressure sensors, and a body (14) that encloses a hollow interior cavity (16), where the body (14) has a generally symmetrical airfoil profile. The body (14) includes a plurality of projections (20a-d) extending beyond the generally symmetrical airfoil profile, each of the plurality of projections (20a-d) including an pressure port (22a-d) at a distal end (24a-d) that is in communication with the hollow interior cavity. Each of the pressure ports (22a-d) receives a corresponding air pressure sensor (12a-d) that is configured to collect static and dynamic air pressure data.

A method and apparatus for calculating line sag in a span of a conductor is provided. The method includes using a portable smart device having one or more accelerometers and running a line sag application on the processing device. The line sag application enables acceleration data of return waves generated on the conductor to be collected using the smart device and to be plotted as a function of time for display on the smart device. The method further includes placement of time markers on the plotted data displayed on the smart device to determine elapsed time and calculating line sag using the elapsed time.

The present invention relates to a method for calibrating an altitude sensing stereo vision device (122) of an unmanned aerial vehicle (100), wherein the method includes: arranging the unmanned aerial vehicle to take off from ground (G) and ascend; deriving at least one first altitude value (10a-15a) from the stereo vision device and obtaining at least one corresponding second altitude value (10b-15b) from another device (123) of the unmanned aerial vehicle during the ascent (1) of the unmanned aerial vehicle; recording the derived at least one first altitude value and the obtained at least one corresponding second altitude value as calibration data; deriving an additional first altitude value from the stereo vision device while the unmanned aerial vehicle flies a route; and adjusting the derived additional first altitude value based on the recorded calibration data.