A Vision/Inertial Integrated Navigation Method Based on Online Calibration of Camera Intrinsic Parameters

A navigation method and inertial combination technology, which is applied in directions such as navigation, navigation, mapping and navigation through speed/acceleration measurement, can solve problems such as the reduction of the precision of the navigation system, and achieve the effect of solving the reduction of precision.
CN111156997BActive Publication Date: 2021-11-30NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Publication Date
2021-11-30

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Abstract

The invention discloses a visual / inertial combined navigation method based on camera internal reference online calibration, the steps are: collecting visual sensor data S(k), accelerometer data and gyroscope data at time k and using the visual sensor data S(k) to perform adjacent Feature matching and detection between two image frames; use inertial sensor data and pre-integrate between two adjacent image frames; combine visual reprojection error and inertial pre-integration error to optimize and solve carrier navigation information and camera internal parameters; output carrier navigation information and camera intrinsics. The invention can complete the calibration of the internal parameters of the camera under the visual / inertial navigation framework, and can effectively solve the problem of the decrease of the precision of the navigation system caused by the change of the internal parameters of the camera.
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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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