A method for determining the quality of unmanned aerial vehicle video

Abstract

The invention discloses a method for determining the quality of an aerial video of an unmanned aerial vehicle. A camera carried by the unmanned aerial vehicle in the invention provides the aerial video; the aerial video is sent to a ground receiver in real time through a stream media transmission technology; the ground receiver receives flight parameters (the height and the speed) of the unmanned aerial vehicle and network parameters (the network delay and the packet loss probability); the ground receiver feeds back a calculated video quality index to a flight control system of the unmanned aerial vehicle; the flight parameters are further optimized; and for example, the best video quality is achieved by adjusting the flight height and speed. By means of the invention, the quality of an aerial application of the unmanned aerial vehicle can be improved; the capability of the unmanned aerial vehicle for independently executing a task is improved; the flight control system of the unmanned aerial vehicle can adjust the flight posture in real time according to the video quality estimated by a ground station (in an independent flight mode); and thus, the best aerial photographing effect is achieved.

Description

technical field [0001] The invention belongs to the technical field of multimedia mobile communication, and relates to a method for determining the quality of a UAV aerial video. Background technique [0002] At present, mainstream consumer drones are equipped with high-definition cameras (such as 720p, 1080p) and gimbals, providing a wealth of IoT applications such as drone aerial photography, precision agriculture, infrastructure inspection, security monitoring, etc. The quality of drone aerial video directly affects the performance of these video-based services. [0003] Most of the existing UAV aerial photography solutions are based on 2.4GHz or 5.8GHz point-to-point wireless transmission technology to realize real-time image transmission. The video quality is mainly determined by the following aspects: 1) The spatial distance between the UAV and the ground station. The greater the distance, the weaker the received wireless signal strength and the worse the video quali...

AI Technical Summary

Problems solved by technology

These methods do not take into account the characteristics of UAV aerial photography business, such as dynamically changing flight speed and flight altitude have a great impact on video quality

However, the subjective prediction method of video quality requires a large amount of human resources as the basis for data collection, and cannot provide real-time video quality index.

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