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Visual SLAM method and apparatus based on point and line features
Visual SLAM method and apparatus based on point and line features
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机译:基于点和线特征的视觉SLAM方法及装置
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摘要
Systems and methods of visual simultaneous localization and mapping (SLAM) based on point and line features are disclosed. The method includes: receiving a visual image frame input by a camera device; extracting feature points and feature lines from the visual image frame; predicting a first pose of the camera device using the feature points; observing an extracted first feature line to determine a feature line measurement of the first feature line; obtaining a global feature line state vector set of the camera device, where the global feature line state vector set includes feature line state vectors of N historical feature lines, and N is a positive integer; and updating the first pose using the feature line measurement and the global feature line state vector set. In this way, feature point-based motion estimations and observation features of feature lines observed in an environment are integrated to update a pose of the camera device in real time, thereby improving visual SLAM accuracy.
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