| 书目名称 | Edge Assisted Mobile Visual SLAM | | 编辑 | Jingao Xu,Zheng Yang,Hao Cao | | 视频video | | | 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 | | 图书封面 |  | | 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 | | 关键词 | Edge Computing; Visual SLAM; Real-time System; Mobile Augmented Reality; Multi-agent Collaboration | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-97-3573-0 | | isbn_softcover | 978-981-97-3575-4 | | isbn_ebook | 978-981-97-3573-0 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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发表于 2025-3-21 19:36:49
