CollageMap: Tailoring Generative Fingerprint Map via Obstacle-Aware Adaptation for Site-Survey-Free Indoor Localization

• Published in: Proceedings of the IEEE International Conference on Pervasive Computing and Communications pp. 197 - 207
• Main Authors: You, Yeawon, Yoon, JinYi, Kang, Dayeon, Kim, Jeewoon, Lee, HyungJune
• Format: Conference Proceeding
• Language: English
• Published: IEEE 17.03.2025
• Subjects: Accuracy; Adaptation models; Artificial neural networks; environment adaptation; Fingerprint recognition; generative radio fingerprint map; Location awareness; obstacle-awareness; Received signal strength indicator; site-survey-free indoor localization; Training; Wireless communication; Wireless fidelity; Zigbee

As wireless-equipped devices are widely deployed, fingerprint-based indoor localization becomes popular due to its simple yet precise feature. A key challenge is constructing an accurate map of signals with their corresponding coordinates. However, because the structural layout of each location uniq...