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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Main Authors WU ZIHAO, XIONG HUAJIE, LI RUI, YU BAOGUO, SHI YINGJING
Format Patent
LanguageChinese
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
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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