17 results about "Flight pattern" patented technology

Methods, systems and apparatus, for an unmanned aerial vehicle electromagnetic avoidance and utilization system. One of the methods includes obtaining a flight package indicating a flight pattern associated with inspecting a structure, the flight pattern causing the UAV to remain at a standoff distance from the structure, wherein the standoff distance is based on an electromagnetic field associated with the structure, and wherein the flight pattern is laterally constrained according to a property geofence associated with a right of way of the structure. The UAV is navigated according to the flight pattern, and the UAV captures images of the structure. For an initial portion of the flight pattern, the UAV navigates at an altitude based on the standoff distance and the property geofence towards the structure. The UAV determines a location at which to capture images of the structure, and the UAV provides the captured images to a user device.

The disclosure pertains to a battery-powered personal flying apparatus comprising a body structure adapted to support and detachably couple user thereto, and a pair of wings rotationally coupled to opposite sides of the body structure. The wings preferably comprise at least a humerus portion and radius portion. The radius portion is configured to rotate relative to the humerus and, during use, the wings mimic the motion of bird flight. The disclosure further pertains to a method of facilitating human flight using the personal flying apparatus comprising the steps of maintaining the user's torso and legs in an inline and generally horizontal position, moving a pair of wings having a humerus rotatably coupled to a radius simultaneously through a wing flight pattern, and repeating the wing fight pattern to maintain flight of the user.

A communications system using aircraft flown at high altitude. The aircraft may fly in a pattern providing coverage over a large area on the ground. The aircraft may utilize antennas which may be positioned to provide better coverage in different lateral ranges under the aircraft as the aircraft flies within a flight pattern. The aircraft may use hydrogen powered fuel cells and maintain flight for a significant amount of time. The communications system may be adapted to provide 5G, or higher, wireless communication to areas which may be inadequately served by terrestrial based systems. The beam direction from above avoids signal blockages which may occur due to irregular geographic features, and also allows for service into areas devoid of terrestrial service.

An information processing device and a corresponding information processing method that includes: causing a display to display a plurality of template objects schematically illustrating flight patterns; and generating a control signal for a flight vehicle on the basis of flight control information including information on a flight route corresponding to a plurality of selected template objects selected from among the plurality of template objects.

This invention relates to the field of early warning and control technology for airport bird flocks, specifically disclosing a radar-based system and method for timely early warning and control of airport bird flocks. The system includes the following steps: obtaining the minimum spatial distance value among individual bird flocks and comparing it with the radius of the warning airspace to obtain an early warning signal; obtaining the spatial location of individual bird flocks at each detection time node; calculating the predicted limit value of the bird flock's flight path at detection time node m and comparing it with the radius of the warning airspace to obtain an early warning signal or a predicted signal; reducing the impact of laser and sound waves on the visual and auditory perception of the bird flock, avoiding unpredictable effects caused by stressful flight patterns after the flock is stimulated, reducing the use of laser and sound waves, avoiding interference with other organisms in the airport's surrounding environment or other aircraft during flight, and reducing safety hazards.

Methods, systems and apparatus, including computer programs encoded on computer storage media for an unmanned aerial vehicle aerial survey. One of the methods includes receiving information specifying a location to be inspected by an unmanned aerial vehicle (UAV), the inspection including the UAV capturing images of the location. Information describing a boundary of the location to be inspected is obtained. Inspections to be assigned to the location are determined, with the inspection legs being parallel and separated by a particular width. A flight pattern is determined based on a minimum turning radius of the UAV, with the flight pattern specifying an order each inspection leg is to be navigated along, and a direction of the navigation.

The present disclosure describes a platform and method for utilizing Unmanned Aerial Vehicles (UAVs) to monitor trailer safety and ensure compliance with federal regulations at truck and trailer depots. The method involves automatically deploying at least one UAV to inspect trucks or trailers parked in a depot, with the UAV following a unique flight pattern around the vehicle to ensure adherence to required safety standards and regulatory compliance. The UAV then transmits the collected data to a cloud-based system or other data processing and analysis platform, allowing users to review the findings. The platform comprises at least one drone, a plurality of preferred and alternative flight paths, a specialized charging station, software for controlling the UAV(s) movements and recording their observations, and hardware, such as radios, to manage the UAV(s) movement.

The disclosure pertains to a battery-powered personal flying apparatus comprising a body structure adapted to support and detachably couple user thereto, and a pair of wings rotationally coupled to opposite sides of the body structure. The wings preferably comprise at least a humerus portion and radius portion. The radius portion is configured to rotate relative to the humerus and, during use, the wings mimic the motion of bird flight. The disclosure further pertains to a method of facilitating human flight using the personal flying apparatus comprising the steps of maintaining the user's torso and legs in an inline and generally horizontal position, moving a pair of wings having a humerus rotatably coupled to a radius simultaneously through a wing flight pattern, and repeating the wing fight pattern to maintain flight of the user.

The invention discloses a multi-mode line iron tower bird repelling system based on image analysis and motion perception, relates to the technical field of computer vision, and is used for solving the problems of bird flight trajectory tracking and accurate repelling in a complex field environment. Firstly, stable detection and continuous trajectory tracking of flying birds are realized by fusing bimodal visual data of visible light and thermal imaging, and the defect of poor environmental adaptability of a single sensor is overcome; then, motion vector change and thermal radiation characteristics are analyzed based on the track sequence, the flight intention and behavior mode of the birds are intelligently recognized, and the collision risk of the birds and iron tower equipment is predicted; according to different flight modes, different green light driver isolation schemes are generated, and conversion from general deterrence to precise intervention is achieved; finally, the repelling parameters are dynamically adjusted by monitoring the response of the birds to the CD driver, response data are fed back to the prediction module, a closed-loop control system with the self-learning ability is formed, and the continuity of the bird repelling effect and the environmental adaptability are improved.

The invention discloses a light GBM-based unmanned aerial vehicle trajectory feature anomaly detection method, which overcomes the problems of low accuracy and high time complexity of unmanned aerial vehicle abnormal trajectory detection in the prior art, and comprises the steps of obtaining unmanned aerial vehicle flight data, and establishing an unmanned aerial vehicle flight data set; classifying the flight data according to the Euclidean distance between the data points by using a clustering algorithm, and removing take-off data and descent data; according to the processed flight data of the unmanned aerial vehicle, constructing a track feature vector of unmanned aerial vehicle cruising; and training an unmanned aerial vehicle trajectory anomaly detection model by using light GBM based on the trajectory feature vector, and carrying out unmanned aerial vehicle trajectory anomaly detection. According to the method, noise data in the flight data of the unmanned aerial vehicle is cleaned, data discrimination in different flight modes is carried out, data classification of different flight modes is completed, corresponding trajectory feature vectors are constructed, and the trajectory detection model is trained by using the lightGBM, so that the time complexity is lower, and the accuracy is higher.

Methods, systems and apparatus, including computer programs encoded on computer storage media for an unmanned aerial vehicle aerial survey. One of the methods includes receiving information specifying a location to be inspected by an unmanned aerial vehicle (UAV), the inspection including the UAV capturing images of the location. Information describing a boundary of the location to be inspected is obtained. Inspections to be assigned to the location are determined, with the inspection legs being parallel and separated by a particular width. A flight pattern is determined based on a minimum turning radius of the UAV, with the flight pattern specifying an order each inspection leg is to be navigated along, and a direction of the navigation.

This invention belongs to the field of anti-drone technology. It discloses a radar-based drone capture system, comprising a radar echo analysis unit that deploys a phased array radar to scan the target airspace in real time, collects radar echo signals, adjusts the target detection sensitivity in real time using a non-parametric dynamic threshold method, distinguishes target echoes from natural clutter, analyzes the frequency drift and waveform deformation of the radar echo signals, and outputs a target dynamic trajectory sequence. A target motion recognition unit receives the target dynamic trajectory sequence, identifies and analyzes the target's flight pattern based on a rule-driven trajectory fitting method, determines whether the target conforms to preset drone flight characteristics, and generates a drone identification flag if it does. This improves the perception accuracy, identification reliability, interception efficiency, and operational security of drone targets in complex environments.

The invention relates to the field of intelligent risk analysis, in particular to an airport surrounding bird risk analysis method based on image processing, which creatively performs conjoint analysis and prediction on the flight path of a bird flock, constructs a dynamic graph containing three dimensions of space, association and time, fits the airspace-bird flock behavior association of reality, and improves the bird flock risk analysis accuracy. Information fusion from local bird individuals to a time sequence and then to a global bird flock is realized through mixed attention, meanwhile, a multi-granularity decoding strategy is designed, and bottom layer trajectory generation is guided and constrained by predicting a high-level intention, so that trajectory prediction is accurate and conforms to a bird flock joint flight law, and finally accurate prediction of risks is realized. According to the method, a graph segmentation method is adopted to segment the birds in the sky graph, accurate segmentation masks and texts describing the spatial positions of the birds are output, bird image-text pairs containing position labels are generated, an accurate position basis is provided for flight path detection and prediction of the birds, and then the bird risk analysis capability is improved.

A technique for detection of an obstacle by a UAV includes arriving above a location at a first altitude by the UAV; navigating a descent flight pattern from the first altitude towards the location; acquiring aerial images of the location below the UAV with a camera system disposed onboard the UAV; and analyzing the aerial images with a machine vision system disposed onboard the UAV that is adapted to detect a presence of the obstacle in the aerial images. The descent flight pattern is selected to increase perception by the machine vision system of the obstacle.

Systems and methods for unmanned aerial vehicle (UAV) search and rescue operations are provided. A UAV may include a camera configured to capture one or more images of a search area. The UAV may include at least one logic device configured to calculate a flight pattern for searching the search area, receive a target image, and analyze the one or more images of the search area to identify a target matching the target image.

A technique for detection of an obstacle by a UAV includes arriving above a location at a first altitude by the UAV; navigating a descent flight pattern from the first altitude towards the location; acquiring aerial images of the location below the UAV with a camera system disposed onboard the UAV; and analyzing the aerial images with a machine vision system disposed onboard the UAV that is adapted to detect a presence of the obstacle in the aerial images. The descent flight pattern is selected to increase perception by the machine vision system of the obstacle.

Systems, devices, and methods including a processor having addressable memory, where the processor is configured to: determine one or more flight paths for an aerial vehicle, where the determined flight path creates a continuous surface about one or more potential gas sources of a survey site; receive a trace gas data from one or more trace gas sensors of the aerial vehicle of the continuous surface as the aerial vehicle flies the determined one or more flight paths; and determine based on the received trace gas data whether a gas leak is present in the received survey site and a rate of the gas leak if present in the survey site.