ICK-Track: A Category-Level 6-DoF Pose Tracker Using Inter-Frame Consistent Keypoints for Aerial Manipulation-Reference-Cited by-同舟云学术

ICK-Track: A Category-Level 6-DoF Pose Tracker Using Inter-Frame Consistent Keypoints for Aerial Manipulation

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Sun Jingtao¹,Wang Yaonan¹,Feng Mingtao¹,Wang Danwei²,Zhao Jiawen¹,Stachniss Cyrill³,Chen Xieyuanli³

Affiliation:

1. College of Electrical and Information Engineering, and the National Engineering Laboratory for Robot Visual Perception and Control (RVC-NATIONAL ENGNEERING LAB), Hunan University,Changsha,China,410082

2. School of Electrical and Electrical Engineering, Nanyang Technological University,Singapore

3. University of Bonn,Germany

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09982183.pdf?arnumber=9982183

Reference35 articles.

1. Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving;li;Proc of the Europ Conf on Computer Vision (ECCV),2018

2. Robust Localization of Occluded Targets in Aerial Manipulation Via Range-Only Mapping

3. Autonomous Removing Foreign Objects for Power Transmission Line by Using a Vision-Guided Unmanned Aerial Manipulator

4. PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

5. Video Object Segmentation without Temporal Information

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