Fusing Dense Features and Pose Consistency: A Regression Method for Attitude Measurement of Aircraft Landing-Reference-Cited by-同舟云学术

Fusing Dense Features and Pose Consistency: A Regression Method for Attitude Measurement of Aircraft Landing

Published:2023 Issue: Volume:72 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Liu Mingkun¹^ORCID,Feng Guangkun¹^ORCID,Xu Ting-Bing¹^ORCID,Liu Fulin¹^ORCID,Wei Zhenzhong¹^ORCID

Affiliation:

1. Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10044130.pdf?arnumber=10044130

Reference49 articles.

1. Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection

2. SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again

3. Monocular Model-Based 3D Tracking of Rigid Objects: A Survey

4. Stable real-time 3D tracking using online and offline information

5. Detection and fine 3D pose estimation of texture-less objects in RGB-D images;hodan;Proc IEEE/RSJ Int Conf Intell Robots Syst (IROS),2015

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