Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots

Mehmet Turan, Yasin Almalioglu, Helder Araújo, Ender Konukoglu, Metin Sitti. Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots. Neurocomputing, 275:1861-1870, 2018. [doi]

@article{TuranAAKS18,
  title = {Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots},
  author = {Mehmet Turan and Yasin Almalioglu and Helder Araújo and Ender Konukoglu and Metin Sitti},
  year = {2018},
  doi = {10.1016/j.neucom.2017.10.014},
  url = {https://doi.org/10.1016/j.neucom.2017.10.014},
  researchr = {https://researchr.org/publication/TuranAAKS18},
  cites = {0},
  citedby = {0},
  journal = {Neurocomputing},
  volume = {275},
  pages = {1861-1870},
}