no code implementations • 27 Jun 2019 • Liming Han, Yimin Lin, Guoguang Du, Shiguo Lian
This paper presents an self-supervised deep learning network for monocular visual inertial odometry (named DeepVIO).
1 code implementation • 16 May 2019 • Guoguang Du, Kai Wang, Shiguo Lian, Kaiyong Zhao
We conclude three key tasks during vision-based robotic grasping, which are object localization, object pose estimation and grasp estimation.
no code implementations • 19 Dec 2018 • Yimin Lin, Zhaoxiang Liu, Jianfeng Huang, Chaopeng Wang, Guoguang Du, Jinqiang Bai, Shiguo Lian, Bill Huang
Although a wide variety of deep neural networks for robust Visual Odometry (VO) can be found in the literature, they are still unable to solve the drift problem in long-term robot navigation.