Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation-Reference-Cited by-同舟云学术

Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Merrill Nathaniel¹,Guo Yuliang²,Zuo Xingxing³,Huang Xinyu²,Leutenegger Stefan³,Peng Xi¹,Ren Liu²,Huang Guoquan¹

Affiliation:

1. University of Delaware

2. Bosch Research North America

3. Technical University of Munich

Funder

NSF

ARL

Technical University of Munich

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09880184.pdf?arnumber=9880184

Reference38 articles.

1. CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth

2. GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation

3. DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

4. Implicit 3d orientation learning for 6d object detection from rgb images;sundermeyer;Proceedings of the European Conference on Computer Vision (ECCV),2018

5. OrcVIO: Object residual constrained Visual-Inertial Odometry

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