Awardees

Best Paper Award

1st Place:

Geometric Sound Profile: Multipath-Time-of-Flight Fingerprint for High-Accuracy Acoustic Localization

Yukiya Mita, Hiroaki Murakami, Takuya Sasatani, and Yoshihiro Kawahara

2nd Place:

Evaluating Open Science Practices in Indoor Positioning and Indoor Navigation Research

Grigorios G. Anagnostopoulos, Paolo Barsocchi, Antonino Crivello, Cristiano Pendão, Ivo Silva, Joaqu´ın Torres-Sospedra

3rd Place:

CSI-fingerprinting Based Human Indoor Localization in Noisy Environment using Time-Invariant CNN

Hyogo Hiruma, Yuki Inoue, Takuto Sato, and Hiroshi Ohashi

4th Place:

Enhancing Drone Localization with Joint UWB and Radar Measurements Using CIR Processing 

Christophe Villien

5th Place:

Information-Aware Joint Calibration of Microphone Array and Sound Source Localization 

Xiaoyang Li, Haowen Deng, Jiang Wang, Linya Fu, and He Kong 

6th Place:

Saying goodbyes to rotating your phone: Magnetometer calibration during SLAM

Ilari Vallivaara, Yinhuan Dong, Tughrul Arslan

Best Presentation Award

Radio Foundation Models: Pre-training Transformers for 5G-based Indoor Localization

Jonathan Ott, Jonas Pirkl, Maximilian Stahlke, Tobias Feigl and Christopher Mutschler

Obtaining Parking Information Without Prior Knowledge in Underground Parking Lot

Weichang Xu, Jiaxiang Wang, Jian Li, Wei Li, Yongliang Wang and Shengyang Chen

Asynchronous Particle Filter with Pedestrian Graph Integration for Visually Impaired Navigation

Min Wang, F. Serhan Danis, Valerie Renaudin and Myriam Servieres

An Observability-Constrained Magnetic-Field-Aided Inertial Navigation System

Chuan Huang, Gustaf Hendeby and Isaac Skog

PALMS: Plane-based Accessible Indoor Localization Using Mobile Smartphones

Yunqian Cheng and Roberto Manduchi

Improving GNSS Positioning in Challenging Urban Areas by Digital Twin Database Correction

Jiarong Lian, Jiayi Zhou, Guohao Zhang and Li-Ta Hsu

Best Poster Award

Trunk-Mounted PDR System Based on Inverted Pendulum Model

Lei Cao, Wenchao Zhang*, Dongyan Wei, Hong Yuan