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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EdgeSLAM 1.0: Architectural Innovations in Mobile Visual SLAMn tasks through strategic computation offloading. The pivotal breakthroughs of edgeSLAM encompass a streamlined offloading approach, a strategic data exchange protocol, and a dynamic task allocation framework. Comprehensive implementation on an edge framework alongside diverse mobile units (includin

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Indoor Autonomous Navigation with EdgeSLAMegates and rearranges the intertwined components of SLAM for both leaders and followers. Demonstrated on widely available smartphones across varied architectural environments and tested against two renowned benchmarks (TUM and KITTI), Pair-Navi showcases a near-instant navigation success rate of 98.

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https://doi.org/10.1007/978-3-642-73450-2d scenes. Without this capability, all these innovative entities could not manifest in our reality, which would be a significant loss..To enable computers to parse spatial environments and ascertain their position within them, SLAM technology has seen significant advances over the past 30 years. SLA

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https://doi.org/10.1007/978-3-476-05324-4n tasks through strategic computation offloading. The pivotal breakthroughs of edgeSLAM encompass a streamlined offloading approach, a strategic data exchange protocol, and a dynamic task allocation framework. Comprehensive implementation on an edge framework alongside diverse mobile units (includin

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https://doi.org/10.1007/978-3-658-18702-6 multi-agent handling capabilities. Through rigorous testing and a detailed 3-month deployment in one of the globe’s most extensive oil-fields, SwarmMap demonstrated its ability to support double the agents (.20) compared to leading methods, while ensuring resource utilization remains constant. Addi

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