AFSAF-Net: Adaptive Frequency-Spatial Attention Fusion Network with IMU Guidance for Robust Indoor Localization under Low-Light and Texture-Degraded Environments
- DOI
- 10.21203/rs.3.rs-11188223/v1
- Published
- 2026-11-02
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- Open access
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BibTeX
@article{allodium:10.21203/rs.3.rs-11188223/v1,
title = {AFSAF-Net: Adaptive Frequency-Spatial Attention Fusion Network with IMU Guidance for Robust Indoor Localization under Low-Light and Texture-Degraded Environments},
author = {Yin N and Zhou H and Yu W and Yang L and Sun Y.},
year = {2026},
doi = {10.21203/rs.3.rs-11188223/v1},
url = {https://doi.org/10.21203/rs.3.rs-11188223/v1}
}RIS
TY - JOUR TI - AFSAF-Net: Adaptive Frequency-Spatial Attention Fusion Network with IMU Guidance for Robust Indoor Localization under Low-Light and Texture-Degraded Environments AU - Yin N AU - Zhou H AU - Yu W AU - Yang L AU - Sun Y. PY - 2026 DO - 10.21203/rs.3.rs-11188223/v1 UR - https://doi.org/10.21203/rs.3.rs-11188223/v1 ER -
APA
N, Y., H, Z., W, Y., L, Y., & Y., S. (2026). AFSAF-Net: Adaptive Frequency-Spatial Attention Fusion Network with IMU Guidance for Robust Indoor Localization under Low-Light and Texture-Degraded Environments. https://doi.org/10.21203/rs.3.rs-11188223/v1
Source records
- europe-pmc · retrieved 2026-11-10T15:06:16.461Z