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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| Main Authors: | , , , |
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| Institution som forfatter: | |
| Format: | Electronisk eBog |
| Sprog: | engelsk |
| Udgivet: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
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| 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.