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Titlebook: Edge Assisted Mobile Visual SLAM; Jingao Xu,Zheng Yang,Hao Cao Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive

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發(fā)表于 2025-3-21 19:36:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Edge Assisted Mobile Visual SLAM
編輯Jingao Xu,Zheng Yang,Hao Cao
視頻videohttp://file.papertrans.cn/321/320466/320466.mp4
概述Pioneers the integration of edge computing with mobile visual SLAM.Reports the cutting-edge findings of world’s leading research lab on edge-assisted visual SLAM.Presents in-depth case studies on indo
圖書封面Titlebook: Edge Assisted Mobile Visual SLAM; Jingao Xu,Zheng Yang,Hao Cao Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive
描述.In an age where real-time processing and interaction with the physical world through digital lenses are paramount, visual SLAM technology has become the backbone of mobile AR/VR applications, robotics, and autonomous systems. However, the demanding computational load of visual SLAM often strains the limited resources of mobile devices, hindering performance and accuracy. This is exactly where edge computing comes to the forefront, offering a potent solution by performing data processing at the edge of the network, closer to the source of data...This monograph is a pioneering exploration into how edge computing can elevate visual SLAM systems, overcoming the traditional challenges of computational intensity and resource constraints. Edge computing not only offloads heavy-duty processing from mobile devices to edge servers but also mitigates latency, enhances efficiency, and ensures robust, real-time performance. This monograph unveils the transformative potential of edge-assisted visual SLAM, presenting groundbreaking research and the latest advancements in task decoupling, collaborative mapping, and environmental interaction...This monograph could serve as a scholarly resource for
出版日期Book 2024
關(guān)鍵詞Edge Computing; Visual SLAM; Real-time System; Mobile Augmented Reality; Multi-agent Collaboration
版次1
doihttps://doi.org/10.1007/978-981-97-3573-0
isbn_softcover978-981-97-3575-4
isbn_ebook978-981-97-3573-0
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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發(fā)表于 2025-3-21 20:37:15 | 只看該作者
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發(fā)表于 2025-3-22 01:44:19 | 只看該作者
EdgeSLAM 1.0: Architectural Innovations in Mobile Visual SLAMomputing. Location services, critical for a myriad of applications, have garnered extensive attention from both the academic sphere and the industry sector. The rise of visual SLAM in domains such as robotics and autonomous vehicles marks a significant advancement. Nonetheless, its deployment on dev
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發(fā)表于 2025-3-22 05:51:13 | 只看該作者
EdgeSLAM 2.0: Enhancing Scalability in Multi-Agent Systemsecifically tailored for burgeoning applications like search-and-rescue operations, inventory management automation, and industrial inspections. Central to SwarmMap’s architecture are three innovative modules: a server–client synchronization process based on change logs, a scheduler attuned to task p
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Large-Scale Crowdsourced Mapping with EdgeSLAMn to simplify setup processes and visual techniques to forgo infrastructure dependency. Yet, challenges persist: P2P navigation often grapples with path scarcity, and visual techniques on smartphones face issues such as scale uncertainty, directionality limitations, and high computational demands. A
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Research Summary and Open Issuesn academia, visual SLAM systems have gained more attention from the industry, making their way toward robots, drones, and our daily lives. However, several challenges still need to be overcome before edge-assisted mobile visual SLAM is put into ubiquitous use.
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發(fā)表于 2025-3-23 05:34:32 | 只看該作者
-assisted visual SLAM.Presents in-depth case studies on indo.In an age where real-time processing and interaction with the physical world through digital lenses are paramount, visual SLAM technology has become the backbone of mobile AR/VR applications, robotics, and autonomous systems. However, the
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