This book presents the current research on space-based navigation models and the contents of spaces used for seamless indoor and outdoor navigation. It elaborates on 3D spaces reconstructed automatically and how indoor, semi-indoor, semi-outdoor, and outdoor spaces can mimic the indoor environments and originate a network based on the 3D connectivity of spaces. Case studies help readers understand theories, approaches, and models, including data preparation, space classification and reconstruction, space selection, unified space-based navigation model derivation, path planning, and comparison of results.
Features:
- Provides novel models, theories, and approaches for seamless indoor and outdoor navigation path planning
- Includes real-life case studies demonstrating the most feasible approaches today
- Presents a generic space definition framework that can be used in research areas for spaces shaped by built structur
