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A fully dense and globally consistent 3D map reconstruction approach for
  GI tract to enhance therapeutic relevance of the endoscopic capsule robot

A fully dense and globally consistent 3D map reconstruction approach for GI tract to enhance therapeutic relevance of the endoscopic capsule robot

18 May 2017
Mehmet Turan
Yusuf Yigit Pilavci
Redhwan Jamiruddin
Helder Araújo
E. Konukoglu
M. Sitti
ArXivPDFHTML

Papers citing "A fully dense and globally consistent 3D map reconstruction approach for GI tract to enhance therapeutic relevance of the endoscopic capsule robot"

4 / 4 papers shown
Title
A Survey of Deep Learning Techniques for Mobile Robot Applications
A Survey of Deep Learning Techniques for Mobile Robot Applications
Jahanzaib Shabbir
T. Anwer
28
36
0
20 Mar 2018
Magnetic-Visual Sensor Fusion-based Dense 3D Reconstruction and
  Localization for Endoscopic Capsule Robots
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
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
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
24
24
0
08 Sep 2017
1