A multi-rotor UAV optical flow hovering method based on imu attitude compensation
A multi-rotor UAV, UAV technology, applied in attitude control, photo interpretation, image enhancement and other directions, can solve problems such as inability to hover accurately, poor real-time performance, poor environmental adaptability, etc., to ensure accuracy, guarantee Real-time performance, the effect of controlling the amount of calculation
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Publication Date
- 2020-12-04
Smart Images

Figure 1 
Figure 2 
Figure 3
Abstract
Description
technical field
[0001] The invention belongs to the technical field of unmanned aerial vehicle visual navigation, and in particular relates to an optical flow hovering method of a multi-rotor unmanned aerial vehicle based on IMU attitude compensation. Background technique
[0002] As drones gradually enter people's lives, there are more and more applications based on drone platforms, especially the introduction of the vision system, which not only greatly reduces the user threshold, improves flight safety, but also greatly enriches the user experience. Experience, bring more fun to flight. Hover positioning is an important feature that distinguishes multi-rotor UAVs from fixed-wing UAVs. It has broad application prospects in fixed-point shooting and power line inspection, especially when the outdoor GPS signal is weak or there is no GPS signal indoors. , it is particularly important to ensure that the drone hovers stably at the designated position.
[0003] At present, the...
Examples
Embodiment Construction
[0036] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0037] as attached figure 1 As shown, the present invention provides a multi-rotor UAV optical flow hovering method based on IMU attitude compensation. First, extract FAST corner points from all image frames captured by the optical flow camera; then use the pyramid LK optical flow method to match the front and rear frames Extracted FAST corner points, and establish feature point pairs, and then obtain the optical flow structure of the front and rear image frames through the feature point pairs; then use the obtained IMU data to compensate the optical flow results; then use the RANSAC random sampling consistency method Calculate the main body offset in the horizontal direction of the aircraft; finally send the calculation result to the flight control device to keep the aircraft hovering.
[0038] The concrete implementation steps of described...