6 results about "Flight pattern" patented technology

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.

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 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 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.