A Deep Learning Based 6 Degree-of-Freedom Localization Method for Endoscopic Capsule Robots

15 May 2017

Papers citing "A Deep Learning Based 6 Degree-of-Freedom Localization Method for Endoscopic Capsule Robots"

6 / 6 papers shown

Title
A Survey of Deep Learning Techniques for Mobile Robot Applications Jahanzaib Shabbir T. Anwer 26 36 0 20 Mar 2018
Magnetic-Visual Sensor Fusion-based Dense 3D Reconstruction and Localization for Endoscopic Capsule Robots Mehmet Turan Yasin Almalioglu Evin Pınar Örnek Helder Araújo M. Yanik M. Sitti MedIm 13 19 0 02 Mar 2018
Unsupervised Odometry and Depth Learning for Endoscopic Capsule Robots Mehmet Turan Evin Pınar Örnek Nail Ibrahimli Can Giracoglu Yasin Almalioglu M. Yanik M. Sitti MedIm 32 49 0 02 Mar 2018
EndoSensorFusion: Particle Filtering-Based Multi-sensory Data Fusion with Switching State-Space Model for Endoscopic Capsule Robots Mehmet Turan Yasin Almalioglu Hunter B. Gilbert Helder Araújo A. Cemgil M. Sitti MedIm 16 24 0 08 Sep 2017
A fully dense and globally consistent 3D map reconstruction approach for GI tract to enhance therapeutic relevance of the endoscopic capsule robot Mehmet Turan Yusuf Yigit Pilavci Redhwan Jamiruddin Helder Araújo E. Konukoglu M. Sitti 20 22 0 18 May 2017
Magnetic-Visual Sensor Fusion based Medical SLAM for Endoscopic Capsule Robot Mehmet Turan A. Abdullah Redhwan Jamiruddin Helder Araújo E. Konukoglu M. Sitti MedIm 15 11 0 17 May 2017