MilliSign: mmWave-Based Passive Signs for Guiding UAVs in Poor Visibility Conditions

Author:

Iizuka Tatsuya12ORCID,Sasatani Takuya2ORCID,Nakamura Toru1ORCID,Kosaka Naoko1ORCID,Hisada Masaki1ORCID,Kawahara Yoshihiro2ORCID

Affiliation:

1. NTT Space Environment and Energy Laboratories, Nippon Telegraph and Telephone Corporation, Musashino-shi, Tokyo, Japan

2. Graduate School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan

Publisher

ACM

Reference56 articles.

1. Wilbert G. Aguilar , Guillermo A Rodríguez , Leandro Álvarez , Sebastián Sandoval , Fernando Quisaguano , and Alex Limaico . 2017 . Visual SLAM with a RGB-D camera on a quadrotor UAV using on-board processing. In Advances in Computational Intelligence : 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Cadiz, Spain, June 14--16, 2017, Proceedings, Part II 14 . Springer, 596--606. Wilbert G. Aguilar, Guillermo A Rodríguez, Leandro Álvarez, Sebastián Sandoval, Fernando Quisaguano, and Alex Limaico. 2017. Visual SLAM with a RGB-D camera on a quadrotor UAV using on-board processing. In Advances in Computational Intelligence: 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Cadiz, Spain, June 14--16, 2017, Proceedings, Part II 14. Springer, 596--606.

2. mm-Wave chipless RFID decoding: introducing image-based deep learning Techniques;Arjomandi Larry M.;IEEE Transactions on Antennas and Propagation,2021

3. Chipless RFID based on micro-doppler effect;Azarfar Ashkan;IEEE Transactions on Microwave Theory and Techniques,2022

4. Atmospheric and Fog Effects on Ultra-Wide Band Radar Operating at Extremely High Frequencies

5. Chip-less RFID printing technologies: A state of the art;Behera Santanu Kumar;IEEE Microwave Magazine,2021

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