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Through the Medium Sensing and Applications

Chairs: Assistant Prof. Xiaolu Zeng (Beijing Institute of Technology), Prof. Guolong Cui (University of Electronic Science and Technology of China), Prof. Youngwook Kim (Sogang University)


Abstract:

Penetrating detection and sensing through obstacles have been a very important topic since it is very pertinent to a variety of civilian and military applications such as law enforcement, search-and-rescue operations, and surveillance and reconnaissance in urban environments. However, detection and sensing through obstacle/medium is quite challenge since most of the existing signals such as optical signal and high-frequency electromagnetic signal cannot penetrate the daily obstacles such as brick and concrete walls. Although low-frequency radio signal owes better penetrating ability, its propagation suffers from unexpected changes in direction and speed than in free-space, especially for inhomogeneous obstacles, making it very hard to model then compensate such an impact on the received signal. In addition, low-frequency signals are naturally subjected to longer and wave length and smaller band than that of high-frequency signals, which again hinders accurate penetrating detection and sensing. Over the past several decades, pioneers in this area have been widely devoted in related researches such as Through the Wall Radar (TWR), Ground Penetrating Radar (GTR), etc. In this session, we collect the state-of-the-art works about penetrating detection and sensing including but not limited to through the wall image, building layout reconstruction, human action/behavior analyses and recognition and so on. New techniques are also gathered to shed light the future of broadening the horizons of the existing system by penetrating detection and sensing innovations.

 

Important dates

Paper Submission Deadline:
30 September, 2023
Paper Acceptance Notification:
20 October, 2023
Camera-ready Paper Submission:
5 November, 2023
Registration open date:
20 October, 2023
Conference Date:
3-5 December, 2023

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