標(biāo)題: 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 [打印本頁] 作者: 懇求 時(shí)間: 2025-3-21 19:36
書目名稱Edge Assisted Mobile Visual SLAM影響因子(影響力)
書目名稱Edge Assisted Mobile Visual SLAM影響因子(影響力)學(xué)科排名
書目名稱Edge Assisted Mobile Visual SLAM網(wǎng)絡(luò)公開度
書目名稱Edge Assisted Mobile Visual SLAM網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Edge Assisted Mobile Visual SLAM被引頻次
書目名稱Edge Assisted Mobile Visual SLAM被引頻次學(xué)科排名
書目名稱Edge Assisted Mobile Visual SLAM年度引用
書目名稱Edge Assisted Mobile Visual SLAM年度引用學(xué)科排名
書目名稱Edge Assisted Mobile Visual SLAM讀者反饋
書目名稱Edge Assisted Mobile Visual SLAM讀者反饋學(xué)科排名
作者: Indent 時(shí)間: 2025-3-21 20:37 作者: Chemotherapy 時(shí)間: 2025-3-22 01:44
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作者: 記成螞蟻 時(shí)間: 2025-3-22 05:51
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作者: Awning 時(shí)間: 2025-3-22 09:56 作者: 原告 時(shí)間: 2025-3-22 15:08
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作者: 原告 時(shí)間: 2025-3-22 20:49 作者: 特別容易碎 時(shí)間: 2025-3-22 21:23 作者: Headstrong 時(shí)間: 2025-3-23 03:23
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.作者: 閑逛 時(shí)間: 2025-3-23 05:34
-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 作者: 苦惱 時(shí)間: 2025-3-23 10:54 作者: 歡笑 時(shí)間: 2025-3-23 16:48 作者: 過時(shí) 時(shí)間: 2025-3-23 20:36
Edge Computing in Mobile Visual Systemstypically within 3 hops), into the system design to provide computational support. In this chapter, we introduce the fundamental concepts and the overall technological framework of edge computing, providing readers with a better understanding of edge computing.作者: 手榴彈 時(shí)間: 2025-3-24 02:02
978-981-97-3575-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: VOK 時(shí)間: 2025-3-24 03:22 作者: 無法取消 時(shí)間: 2025-3-24 07:27
Menschenorientiertes Krankenhausmanagementk inference, some studies have adopted . solutions. This involves integrating relatively powerful edge servers, which are closer in network distance (typically within 3 hops), into the system design to provide computational support. In this chapter, we introduce the fundamental concepts and the over作者: Serenity 時(shí)間: 2025-3-24 12:21 作者: Asparagus 時(shí)間: 2025-3-24 15:12
https://doi.org/10.1007/978-3-658-18702-6ecifically 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作者: Ingrained 時(shí)間: 2025-3-24 22:27
https://doi.org/10.1007/978-3-658-16880-3equire a significant infrastructure setup. This chapter introduces Pair-Navi, an innovative system that bypasses these necessities by leveraging the path information shared by an initial user (i.e., the leader) to guide subsequent navigators (i.e., followers) using Peer-to-Peer (P2P) technology. Uti作者: Inertia 時(shí)間: 2025-3-25 02:32
Zur historischen Dynamik des Antisemitismusn 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作者: GIDDY 時(shí)間: 2025-3-25 06:04
https://doi.org/10.1007/978-3-531-19283-3 environments. Despite the development of edge-assisted systems to facilitate computation-intensive operations, the unique challenges of instance segmentation, including device and target motion, precision requirements, and computational burdens, limit its performance on resource-constrained devices作者: maverick 時(shí)間: 2025-3-25 08:01 作者: Neutral-Spine 時(shí)間: 2025-3-25 14:57 作者: Mortal 時(shí)間: 2025-3-25 19:50 作者: commonsense 時(shí)間: 2025-3-26 00:01 作者: 沙發(fā) 時(shí)間: 2025-3-26 03:45
https://doi.org/10.1007/978-981-97-3573-0Edge Computing; Visual SLAM; Real-time System; Mobile Augmented Reality; Multi-agent Collaboration作者: dapper 時(shí)間: 2025-3-26 04:42 作者: 倒轉(zhuǎn) 時(shí)間: 2025-3-26 10:18 作者: Fierce 時(shí)間: 2025-3-26 15:58
Book 2024t, 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作者: receptors 時(shí)間: 2025-3-26 18:07 作者: 安裝 時(shí)間: 2025-3-26 21:57
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作者: aggressor 時(shí)間: 2025-3-27 02:53 作者: Mnemonics 時(shí)間: 2025-3-27 08:01
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.作者: 平淡而無味 時(shí)間: 2025-3-27 10:19 作者: Carcinogen 時(shí)間: 2025-3-27 15:31 作者: Granular 時(shí)間: 2025-3-27 21:47 作者: Confirm 時(shí)間: 2025-3-28 01:02
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作者: 誓言 時(shí)間: 2025-3-28 04:51
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作者: compel 時(shí)間: 2025-3-28 09:01
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作者: 臨時(shí)抱佛腳 時(shí)間: 2025-3-28 12:27
