Abstract: Traditional visual-inertial Simultaneous Localization and Mapping (SLAM) systems predominantly rely on feature point matching from a single robot to realize the robot pose estimation and ...
Abstract: Localization technologies based on radio signals, such as the Global Navigation Satellite System(GNSS), show varying results depending on communication conditions. However, robust ...
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Abstract: Accurate segmentation of 3D point clouds in indoor scenes remains a challenging task, often hindered by the labor-intensive nature of data annotation. While weakly supervised learning ...
Abstract: Visual simultaneous location and mapping (VSLAM) has been widely used today, but for some tough cases with insufficient feature points (such as weak texture and motion blur), it is still an ...
Abstract: Focusing on encoding the Region of Interest (ROI) in point clouds and allocating more bitstream is a crucial area of research. In processing point cloud data, the foreground ROI region ...