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EndoSensorFusion: Particle Filtering-Based Multi-Sensory Data Fusion with Switching State-Space Model for Endoscopic Capsule Robots

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Turan,  Mehmet
Dept. Physical Intelligence, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Sitti,  Metin
Dept. Physical Intelligence, Max Planck Institute for Intelligent Systems, Max Planck Society;
Dept. of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA;

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Turan, M., Almalioglu, Y., Gilbert, H., Araujo, H., Cemgil, T., & Sitti, M. (2018). EndoSensorFusion: Particle Filtering-Based Multi-Sensory Data Fusion with Switching State-Space Model for Endoscopic Capsule Robots. In 2018 IEEE International Conference on Robotics and Automation (ICRA 2018) (pp. 5393-5400). Piscataway, NJ: IEEE. doi:10.1109/ICRA.2018.8460472.


Cite as: http://hdl.handle.net/21.11116/0000-0003-7E75-D
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