Deep learning-based approaches for depth and 6-DoF pose estimation
Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2020
Main Author: | Lin, Muyuan(Scientist in mechanical engineering)Massachusetts Institute of Technology. |
---|---|
Other Authors: | Sertac Karaman. |
Format: | Thesis |
Language: | eng |
Published: |
Massachusetts Institute of Technology
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/1721.1/128089 |
Similar Items
-
Spatial feature mapping for 6DoF object pose estimation
by: Mei, Jianhan, et al.
Published: (2023) -
Sensorless ultrasound probe 6DoF pose estimation through the use of CNNs on image data
by: Xue, Elise Yuan
Published: (2018) -
Controlling high DoF robotic arm with 2 DoF joystick and environment context
by: Lin, Bo
Published: (2022) -
6D Object Pose Estimation with Pairwise Compatible Geometric Features
by: Lin, Muyuan, et al.
Published: (2021) -
6D Object Pose Estimation with Pairwise Compatible Geometric Features
by: Lin, Muyuan, et al.
Published: (2022)