A distance from an aerial vehicle to a terrain feature located forward and lower with respect to the aerial vehicle is measured. An orientation of the aerial vehicle with respect to a reference orientation is detected. At least the measured distance and the orientation of the aerial vehicle is utilized to determine a relative vertical difference between a vertical location of the aerial vehicle and a vertical location of the terrain feature. The determined relative vertical difference is utilized to automatically adjust a flight altitude of the aerial vehicle.

A flight path planning approach may be deterministic and guarantee a safe, quasi-optimal path. A plurality of three-dimensional voxels may be determined as cells of a rectangular grid. The cells may have a predetermined length and width. A shortest safe path through the grid graph may be calculated from a local start to a local goal defined as points on a nominal global path. Geometric smoothing may be performed on the basis line from the local start to the local goal to generate a smooth three-dimensional trajectory that can be followed by a given rotorcraft. Dynamic smoothing may be performed on the three-dimensional trajectory to provide a maximum possible speed profile over a path defined by the dynamic smoothing. The three dimensional path information may be provided to an autopilot, which may then control the rotorcraft to fly along the defined path.

An unmanned aerial vehicle detector includes an unmanned aerial vehicle, a pump/detector combination on the unmanned aerial vehicle and a tube including a rigid section and a flexible section. The tube is connected at a proximal end to the pump/detector combination. The pump/detector combination is configured to draw gas samples from a distal end of the tube to the detector and to detect a level of a gas drawn from within a prescribed distance above ground level.

A method and apparatus for automatically determining a characteristic of a crop using an unmanned aerial vehicle (UAV) includes operating the UAV at an elevation above a ground surface of a field and collecting first data that indicates an elevation of the UAV with a barometric pressure based altimeter of the UAV. Second data is collected with a SONAR sensor of the UAV that indicates a distance to a nearest object on the ground surface. The SONAR sensor has a SONAR sensor range and the elevation above the ground surface is less than the SONAR sensor range. The method further includes receiving the first data and the second data on a processor, and determining a height of the nearest object above the ground surface with the processor based on the first data and second data. Output data that indicates the height of the nearest object is presented on a display.

The embodiment of the disclosure relates to an Unmanned Aerial Vehicle (UAV) terrain simulation flying method and device, and a UAV. The method includes: acquiring a vertical distance between a UAV and the ground; acquiring an oblique distance between the UAV and the ground; acquiring an angle between the vertical distance and the oblique distance; and adjusting a terrain simulation flying state of the UAV according to the angle, the vertical distance and the oblique distance.

There are approximately 35,000 abandoned and unplugged oil and gas wells in New York with no known location. Unplugged wells emit methane, a strong greenhouse gas, which has the potential to significantly contribute to global climate change and act as a pollutant chemical. A long-range UAV equipped with methane sensors, MagPike (atomic magnetometer), and LiDAR sensors successfully detected unmarked well sites using characteristic magnetic signals generated by vertical metal piping preserved in the ground. The optimal flight altitude and transect spacing was determined for detection driven by the total field strength of the Earth's magnetic field and the height of tree canopies determined by LiDAR. Traditional methods of identifying oil and gas wells are costly and less powerful in acquisition of data such as using large magnetometers attached to helicopters.

A distance from an aerial vehicle to a terrain feature located forward and lower with respect to the aerial vehicle is measured. A current orientation of the aerial vehicle with respect to a reference orientation is detected. At least the measured distance and the current orientation is utilized to determine a relative vertical difference between a vertical location of the aerial vehicle and a vertical location of the terrain feature is det. The determined vertical difference is utilized to automatically adjust a flight altitude of the aerial vehicle.

A ground proximity warning system for an aircraft includes a plurality of alarm generators, each able to generate an alarm by verifying evolution conditions of the aircraft specific to each alarm generator, the verification using data obtained from at least one measuring sensor of the aircraft. The ground proximity warning system includes a unit for selective deactivation of at least some of the alarm generators, able to be implemented during a search and rescue mission carried out by the aircraft, and an auxiliary alarm generator, capable of emitting a ground proximity alarm based on the safety height chosen for the search and rescue mission, when the selective deactivation unit is implemented.

A method and device for calculating a safe path from a current position (P1) of an aircraft to an attachment point (P2) over a terrain. The current position (P1) of the aircraft is determined, and then the attachment point (P2) is defined. At least one attachment path connects he current position (P1) to the attachment point (P2) in safe manner over the terrain. The attachment path may be subdivided into a plurality of tracks (31-39). Each track (31-39) is situated at a safe altitude that is higher than the highest point of the terrain being overflown. In addition, the attachment path may be a return path defined by passage points (S1-S8) of the aircraft.

A system and method for the avoidance of one or more obstacles by an aircraft, and a related computer program product, electronic system and aircraft are disclosed. In one aspect, the method includes a) generating an alert by a warning system on detection of an obstacle and b) if no manual avoidance maneuver is detected for a time period longer than a first determined time and if the alert is maintained during this first time period, automatically activating an automatic avoidance guide mode to determine an obstacle-avoidance guidance rule. The method further including c) if an autopilot device of the aircraft is coupled to the automatic avoidance guide mode, transmitting to the autopilot device the avoidance guidance rule determined in step b) for automatic performing of a maneuver to avoid the obstacle.