Edge Assisted Mobile Visual SLAM

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...

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Bibliografiske detaljer
Main Authors: Xu, Jingao (Author), Yang, Zheng (Author), Liu, Yunhao (Author), Cao, Hao (Author)
Institution som forfatter: SpringerLink (Online service)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Udgivelse:1st ed. 2024.
Fag:
Online adgang:https://doi.org/10.1007/978-981-97-3573-0
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Indholdsfortegnelse:
  • Part I. The Background
  • Chapter 1. Understanding Visual SLAM
  • Chapter 2. Edge Computing in Mobile Visual Systems
  • Part II. Edge-Assisted Visual SLAM: System Design Principle
  • Chapter 3. EdgeSLAM 1.0: Architectural Innovations in Mobile Visual SLAM
  • Chapter 4. EdgeSLAM 2.0: Enhancing Scalability in Multi-Agent Systems
  • Part III. Edge-Assisted Visual SLAM: Innovations and Applications
  • Chapter 5. Indoor Autonomous Navigation with EdgeSLAM
  • Chapter 6. Large-Scale Crowdsourced Mapping with EdgeSLAM
  • Chapter 7. Environment Understanding with EdgeSLAM
  • Chapter 8. Multi-User AR with EdgeSLAM
  • Part IV. Conclusion
  • Chapter 9. Research Summary and Open Issues.