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Article detail · 2017 · article

A non-rigid map fusion-based direct SLAM method for endoscopic capsule robots

YÖKSİS OpenAlex Open access · hybrid Top 10%
Year2017
Citations61OpenAlex
Citations72Semantic Scholar
Percentile%95.7
FWCI4.91.00 = world average
Scopus (SJR)Q2

Data source split

  • YÖKSİSYÖKSİS article record
  • YÖKSİS venueInternational Journal of Intelligent Robotics and Applications
  • Catalog match (ISSN)International Journal of Intelligent Robotics and Applications
  • OpenAlexOpenAlex enrichment (abstract, citations, topics)
  • Semantic Scholarcitation count (not merged with OpenAlex)

Abstract

OpenAlex English

Since the development of capsule endoscopy technology, medical device companies and research groups have made significant progress to turn passive capsule endoscopes into robotic active capsule endoscopes. However, the use of robotic capsules in endoscopy still has some challenges. One such challenge is the precise localization of the actively controlled robot in real-time. In this paper, we propose a non-rigid map fusion based direct simultaneous localization and mapping method for endoscopic capsule robots. The proposed method achieves high accuracy for extensive evaluations of pose estimation and map reconstruction performed on a non-rigid, realistic surgical EsophagoGastroDuodenoscopy Simulator and outperforms state-of-the art methods.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

61citationsOpenAlex · cited_by_count (cache / database)

9 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).

  1. 2021 EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videosCitations 264 · OpenAlex
  2. 2018 Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robotsCitations 137 · OpenAlex
  3. 2017 A deep learning based fusion of RGB camera information and magnetic localization information for endoscopic capsule robotsCitations 37 · OpenAlex
  4. 2017 Sparse-then-dense alignment-based 3D map reconstruction method for endoscopic capsule robotsCitations 36 · OpenAlex
  5. 2018 EndoSensorFusion: Particle Filtering-Based Multi-Sensory Data Fusion with Switching State-Space Model for Endoscopic Capsule RobotsCitations 17 · OpenAlex
  6. 2018 Unsupervised Odometry and Depth Learning for Endoscopic Capsule RobotsCitations 15 · OpenAlex
  7. 2018 Endo-VMFuseNet: A Deep Visual-Magnetic Sensor Fusion Approach for Endoscopic Capsule RobotsCitations 12 · OpenAlex
  8. 2018 Magnetic- Visual Sensor Fusion-based Dense 3D Reconstruction and Localization for Endoscopic Capsule RobotsCitations 9 · OpenAlex
  9. 2019 Hydrodynamic Impedance Correction for Reduced-Order Modeling of Spermatozoa-Like Soft Micro-RobotsCitations 7 · OpenAlex

Authors

5
  1. MEHMET TURAN BOĞAZİÇİ ÜNİVERSİTESİ 1
  2. YASİN ALMALIOĞLU 2
  3. Helder Arajou 3
  4. Ender Konukoglu 4
  5. METİN SİTTİ 5