Visual/inertial integrated navigation method based on online calibration of camera internal parameters

A navigation method and an inertial combination technology, which is applied to navigation, navigation, surveying and navigation through speed/acceleration measurement, and can solve the problem of reduced accuracy of the navigation system
CN111156997AActive Publication Date: 2020-05-15NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Publication Date
2020-05-15

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Abstract

The invention discloses a vision / inertia integrated navigation method based on online calibration of camera internal parameters. The method comprises the steps of collecting visual sensor data S(k), accelerometer data and gyroscope data at the moment k, and performing feature matching and detection between two adjacent image frames by utilizing the visual sensor data S(k); carrying out pre-integration between two adjacent image frames by utilizing inertial sensor data; optimizing and solving carrier navigation information and camera internal parameters by combining a visual reprojection errorand an inertia pre-integration error; and outputting carrier navigation information and the camera internal parameters. According to the invention, the calibration of the camera internal parameters can be completed under the visual / inertial navigation framework, and the problem that the precision of the navigation system is reduced due to changes of the camera internal parameters can be effectively solved.
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Description

technical field

[0001] The invention belongs to the field of robot navigation, and in particular relates to a visual / inertial combined navigation method. Background technique

[0002] Vision / inertial integrated navigation system has become a research hotspot in the field of robot autonomous navigation because of its good robustness. The visual sensor can suppress the drift problem of the inertial sensor, and the inertial sensor can make up for the problem that the visual sensor cannot work in the environment with less texture and insufficient light. Therefore, the visual / inertial integrated navigation system has broad development prospects.

[0003] Most of the current visual / inertial integrated navigation methods use the internal camera parameters as fixed parameters during operation, and obtain the internal parameters of the camera through traditional offline calibration methods. But in practice, the internal parameters of the camera may change due to mechanical shock or ...

Claims

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