Performance evaluation and future prospects of capsule robot localization technology

Author:

Xu Yan1ORCID,Zhang Peng12ORCID,Wang Lei1ORCID,Li You12ORCID,Luo Bin12ORCID,Yu Yue1ORCID,Chen Ruizhi12ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

2. Institute of Medical Informatics, Renmin Hospital of Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Informa UK Limited

Reference123 articles.

1. Aghanouri, M., A. Ghaffari, and N. Dadashi. 2017. “Image-Based Localization of the Active Wireless Capsule Endoscope Inside the Stomach.” 2017 IEEE Embs International Conference on Biomedical & Health Informatics (Bhi). Orlando, FL, USA: IEEE, 16–19 February 2017.

2. P2SLAM: Bearing Based WiFi SLAM for Indoor Robots

3. Bao, G., L. Mi, Y. Geng, M. Zhou, and K. Pahlavan. 2014. “A Video-Based Speed Estimation Technique for Localizing the Wireless Capsule Endoscope Inside Gastrointestinal Tract.” 2014 36th Annual International Conference Of the IEEE Engineering In Medicine And Biology Society. Chicago, IL, USA: IEEE, 26–30 August 2014.

4. Bao, G., L. Mi, and K. Pahlavan. 2013. “Emulation on Motion Tracking of Endoscopic Capsule Inside Small Intestine.” Proceedings of the International Conference on Bioinformatics & Computational Biology (BIOCOMP), Worcester, MA, USA.

5. UWB RSS-Based Localization for Capsule Endoscopy Using a Multilayer Phantom and In Vivo Measurements

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