An automation assisted elevation certificate production system includes a user computer device, an electronic elevation certificate database storing electronic elevation certificate records associated with respective real property structures and an elevation certificate application. The elevation certificate application is configured to receive address information associated with a real property, determine a parcel boundary associated with the received address information, receive elevation data corresponding to an area within the parcel boundary, determine a boundary for a structure within the parcel boundary, and determine a buffer boundary. The elevation certificate application is further configured to determine a highest adjacent grade (HAG) and a lowest adjacent grade (LAG), based on a portion of the received elevation data corresponding to an area defined between the structure boundary and the buffer boundary, and to automatically input the highest adjacent grade (HAG) and lowest adjacent grade (LAG) into an electronic elevation certificate record, and store the electronic elevation certificate record.

A sensor rod assembly includes a master stick and an extension stick, where the master stick and the at least one extension stick are couplable together via at least one of a physical coupling, an electrical coupling, or a communicative coupling. The sensor rod assembly includes a controller with one or more processors, where the one or more processors are communicatively coupled to at least one set of detection circuitry and a user interface, where the one or more processors are configured to execute a set of program instructions configured to cause the one or more processors to receive one or more detection signals from at least one of the master stick or the extension stick and configured to cause the one or more processors to determine an elevation of a laser light based on the received one or more detection signals.

A sensor rod assembly includes a master stick and an extension stick, where the master stick and the at least one extension stick are couplable together via at least one of a physical coupling, an electrical coupling, or a communicative coupling. The sensor rod assembly includes a controller with one or more processors, where the one or more processors are communicatively coupled to at least one set of detection circuitry and a user interface, where the one or more processors are configured to execute a set of program instructions configured to cause the one or more processors to receive one or more detection signals from at least one of the master stick or the extension stick and configured to cause the one or more processors to determine an elevation of a laser light based on the received one or more detection signals.

A system and method are provided for integrating voice communication systems with voice recognition devices or units and myriad other data sources to provide a harmonization between intended aircraft operations and actual aircraft operations, including logical components to provide a mechanism to flag certain alert communications that signal the initiation of particular response scenarios based on detected terms and track initiation of pre-planned processes to address specific events that are signaled through the use of the detected terms. Information from myriad data sources is collected and integrated to provide an indication of intended operations for an aircraft. A data comparison device compares the indicated real-time intended operations of the aircraft with actual monitored operations of the aircraft to discern unacceptable deviations. Data sources include operator-generated data transmissions, voice transcriptions, automated voice recognized information, measurable operations of the aircraft, and prescribed operating guidance, directives and parameters for the aircraft.

An unmanned aerial vehicle (UAV) includes a vehicle body, one or more propulsion units coupled to the vehicle body and configured to effect movement of the UAV, and one or more processors coupled to the one or more propulsion units and individually or collectively configured to receive one or more sets of altitude restrictions for the UAV, receive location information indicating a current location of the UAV, determine a priority of the one or more sets of altitude restrictions by which the UAV abides based on the location information, select a set from the one or more sets of altitude restrictions based on the determined priority, and generate control signals to control the one or more propulsion units such that the UAV is operated in compliance with the selected set of altitude restrictions.

An unmanned aerial vehicle (UAV) includes a vehicle body, one or more propulsion units coupled to the vehicle body and configured to effect movement of the UAV, and one or more processors coupled to the one or more propulsion units and individually or collectively configured to receive one or more sets of altitude restrictions for the UAV, receive location information indicating a current location of the UAV, determine a priority of the one or more sets of altitude restrictions by which the UAV abides based on the location information, select a set from the one or more sets of altitude restrictions based on the determined priority, and generate control signals to control the one or more propulsion units such that the UAV is operated in compliance with the selected set of altitude restrictions.

The present disclosure pertains to a system for providing persistent mission data to a fleet of vehicles. In some implementations, the system receives (i) information related to a first vehicle's location, the altitude of the first vehicle, and the first vehicle's orientation from the one or more first sensors and (ii) imagery data from one or more second sensors disposed on the first vehicle, wherein the imagery data includes instantaneous imagery and previously recorded imagery. The system geolocates the imagery data based on the first vehicle's altitude and the first vehicle's orientation relative to the terrain. The system transmits one or both of the instantaneous imagery or the previously recorded imagery to a fleet of vehicles. The system effectuates presentation of the imagery data on a three dimensional topographical map of the terrain.

The present disclosure pertains to a system for effectuating presentation of a terrain around a vehicle on a display in the vehicle. In some implementations, the system receives information related to the vehicle's location, the height above the ground surface of the terrain, and the vehicle's orientation from one or more first sensors coupled to the vehicle; obtains a three dimensional topographical map of a terrain around the vehicle based on the location of the vehicle; and receives imagery data from one or more second sensors coupled to the vehicle, the imagery data corresponding to the terrain, wherein the imagery data comprises instantaneous imagery and previously recorded imagery. The system effectuates presentation of the imagery data corresponding to the terrain on the three dimensional topographical map based on the location, the height above the ground surface of the terrain, and the orientation of the vehicle.

Methods, apparatuses, and systems for predicting radio altimeter failures are provided. An example method may include determining a first plurality of altitude values associated with a first radio altimeter, determining a second plurality of altitude values associated with a second radio altimeter, calculating a first level feature based at least in part on the first plurality of altitude values and the second plurality of altitude values, and determining a radio altimeter failure indicator based at least in part on the first level feature.

A detecting assembly and method for identifying and tracking clouds in a zone of the sky being observed where some thermal-infrared flux emitted the zone is collected and transmitted to a thermal-infrared detector, the detector including a sensor sensitive to the flux in a set band of wavelengths, a measurement of the actual temperature and actual relative humidity of the air at ground level is carried out and the vertical temperature and water vapor distribution is deduced therefrom, the dataset relating to the thermal-infrared signal emitted by a reference sky for the vertical temperature and water vapor distribution is stimulated or obtained, the dataset thus simulated or obtained is subtracted from the dataset measured by the sensor to determine if clouds are present in the zone, and the dataset thus obtained is processed in order to compute the optical thickness and/or altitude of each cloud in the observation area.