High-precision and high-robustness visual inertial odometer positioning method based on multi-camera observation
The invention provides a high-precision and high-robustness visual inertial odometer positioning method based on multi-camera observation, which belongs to the technical field of computer vision, and comprises the following steps of: firstly, carrying out synchronous data acquisition of multiple cam...
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Format | Patent |
Language | Chinese English |
Published |
25.06.2024
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Abstract | The invention provides a high-precision and high-robustness visual inertial odometer positioning method based on multi-camera observation, which belongs to the technical field of computer vision, and comprises the following steps of: firstly, carrying out synchronous data acquisition of multiple cameras, carrying out multi-camera front-end feature tracking on each image in an image group, and obtaining a feature association result of each image group; based on this, a cost function is constructed, by constructing a three-layer adaptive confidence weighting model, adaptive multi-camera back-end state estimation is realized, and sliding window optimization is executed. According to the method, the three-layer adaptive confidence weighting model capable of adapting to scene change is constructed, so that the dynamic adjustment of the camera weight is realized, the multi-camera data is fused to the maximum extent and effectively utilized, the feature quality, the tracking error and the reliability of the camera o |
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AbstractList | The invention provides a high-precision and high-robustness visual inertial odometer positioning method based on multi-camera observation, which belongs to the technical field of computer vision, and comprises the following steps of: firstly, carrying out synchronous data acquisition of multiple cameras, carrying out multi-camera front-end feature tracking on each image in an image group, and obtaining a feature association result of each image group; based on this, a cost function is constructed, by constructing a three-layer adaptive confidence weighting model, adaptive multi-camera back-end state estimation is realized, and sliding window optimization is executed. According to the method, the three-layer adaptive confidence weighting model capable of adapting to scene change is constructed, so that the dynamic adjustment of the camera weight is realized, the multi-camera data is fused to the maximum extent and effectively utilized, the feature quality, the tracking error and the reliability of the camera o |
Author | SHI YINGJING XIONG HUAJIE LI RUI YU BAOGUO WU ZIHAO |
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DocumentTitleAlternate | 一种基于多相机观测的高精度高鲁棒性视觉惯性里程计定位方法 |
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Snippet | The invention provides a high-precision and high-robustness visual inertial odometer positioning method based on multi-camera observation, which belongs to the... |
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SubjectTerms | CALCULATING COMPUTING COUNTING GYROSCOPIC INSTRUMENTS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL MEASURING MEASURING DISTANCES, LEVELS OR BEARINGS NAVIGATION PHOTOGRAMMETRY OR VIDEOGRAMMETRY PHYSICS SURVEYING TESTING |
Title | High-precision and high-robustness visual inertial odometer positioning method based on multi-camera observation |
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