The majority of visual Simultaneous Localization and Mapping (SLAM) algorithms are built upon the assumption of static environmental conditions.
In this paper, a new RGB-D dynamic SLAM method, PLD-SLAM, which is based on point and line features for dynamic scenes, is proposed.
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To reduce the computation and memory cost, and improve the localization accuracy of point-based visual simultaneous localization and mapping (SLAM) methods, ...
We propose a real-time depth edge based RGB-D SLAM system for dynamic environment. Our visual odometry method is based on frame-to-keyframe registration, ...
This paper presents a visual SLAM system that uses both points and lines for robust camera localization, and simultaneously performs a piece-wise planar ...
Visual simultaneous localization and mapping (SLAM), based on point features, achieves high localization accuracy and map construction.
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Mar 28, 2021 · A robust RGB-D SLAM system is proposed to utilize the structural information in indoor scenes, allowing for accurate tracking and efficient ...
Apr 3, 2021 · In this paper, we propose a real-time semantic RGB-D SLAM system for dynamic environments that is capable of detecting both known and unknown moving objects.
The official Implementation of Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo ...
Oct 15, 2024 · We first segment the objects in RGB images using YOLOv8 [31] , then map the masked regions into depth images to make point clouds of instances.
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