Edge Assisted Mobile Visual SLAM

Edge Assisted Mobile Visual SLAM

EnglishHardbackPrint on demand
Xu, Jingao
Springer Verlag, Singapore
EAN: 9789819735723
Print on demand
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Detailed information

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 those within the fields of computer vision and mobile computing. It presents a detailed exploration of current research in edge-assisted visual SLAM and anticipates future developments, offering readers a comprehensive understanding of the field's trajectory and its implications for the next generation of mobile applications and autonomous systems.

EAN 9789819735723
ISBN 9819735726
Binding Hardback
Publisher Springer Verlag, Singapore
Publication date July 30, 2024
Pages 191
Language English
Dimensions 235 x 155
Country Singapore
Authors Cao, Hao; Liu Yunhao; Xu, Jingao; Yang Zheng
Illustrations XXI, 191 p. 113 illus., 111 illus. in color.
Edition 2024 ed.