The energy sector is using AI in smart grid management systems to balance energy loads, mitigating the stress from peak demands to reduce disruptions and overall emissions. In telecommunications, AI’s ...
Microsoft's AI infrastructure spending to meet growing cloud services demand is outpacing Wall Street expectations, deepening ...
Abstract: This paper presents FastNN, a novel accelerator architecture for efficient K-Nearest Neighbors (KNN) search in point clouds. FastNN leverages a locality-sensitive E2LSH partitioning method ...
Abstract: Data understanding of light detection and ranging (LiDAR) is essential for achieving embodied intelligence in mobile robots. However, the lack of semantic differentiation in 2-D point clouds ...
Abstract: Recent learning-based models excel in point cloud registration for low-overlap scenes but falter in scenarios with minimal overlap. In this article, we propose a novel method to address the ...
Abstract: Point cloud registration (PCR) is an important task for other point cloud tasks. Feature-based methods are widely adopted for their speed and efficiency in PCR. The descriptive capability of ...
Abstract: Mobile computing paradigms have undergone significant transformations with the rise of mobile cloud computing (MCC), mobile edge computing (MEC), and mobile edge cloud computing (MECC).
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An empty page, or rather an empty entry, resulted in a massive outage in the cloud services of Amazon Web Services (AWS). It ...
Abstract: This paper presents a novel algorithm for real-time data acquisition, processing, and visualization of 3D point cloud data generated by the VLP-32C LiDAR sensor. The proposed method ...
Abstract: Recently, Point-MAE has extended Masked Autoencoders (MAE) to point clouds for 3D self-supervised learning, which however faces two problems: (1) the shape similarity between the masked ...
Abstract: Point cloud compression significantly reduces data volume but sacrifices reconstruction quality, highlighting the need for advanced quality enhancement techniques. Most existing approaches ...
Abstract: Although point cloud segmentation has a principal role in 3D understanding, annotating fully large-scale scenes for this task can be costly and time-consuming. To resolve this issue, we ...
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