-
Notifications
You must be signed in to change notification settings - Fork 0
Home
Mohammed Waseem edited this page Sep 25, 2023
·
4 revisions
Advancing 2D LiDAR-based Indoor Localization using Surface Normal-constrained Particle Filters
- How can the principles of optimal 3D localization using surface normals be effectively adapted and extended to enhance 2D LiDAR-based indoor localization?
- What are the challenges associated with particle degeneracy in 2D LiDAR-based indoor localization, and how can these challenges be mitigated or resolved?
- How can the accuracy-robustness trade-off inherent in handling map discrepancies be addressed in 2D LiDAR-based indoor localization?
- What is the impact of incorporating surface normal constraints into the particle filter framework for 2D LiDAR-based indoor localization?
- How can high-fidelity and low-fidelity observation models be effectively designed and integrated into the particle filter process to improve accuracy and robustness?
- How does the proposed 2D LiDAR-based indoor localization system compare to traditional particle filter-based approaches in terms of accuracy and efficiency in challenging localization scenarios?