Transparent Object Depth Perception Network for Robotic Manipulation Based on Orientation-Aware Guidance and Texture Enhancement-Reference-Cited by-同舟云学术

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Transparent Object Depth Perception Network for Robotic Manipulation Based on Orientation-Aware Guidance and Texture Enhancement

Published:2024 Issue: Volume:73 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Yan Yunhui¹^ORCID,Tian Hongkun¹^ORCID,Song Kechen¹^ORCID,Li Yuntian¹^ORCID,Man Yi¹^ORCID,Tong Ling¹^ORCID

Affiliation:

1. School of Mechanical Engineering and Automation, the National Frontiers Science Center for Industrial Intelligence and Systems Optimization, and the Key Laboratory of Data Analytics and Optimization for Smart Industry, Ministry of Education, Northeastern University, Shenyang, China

Funder

Fundamental Research Funds for the Central Universities

Chunhui Plan Cooperative Project of Ministry of Education

Higher Education Discipline Innovation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/19/10367905/10597633.pdf?arnumber=10597633

Reference43 articles.

1. Stitching Based on Corrections to Obtain a Flat Image on a Curved-Edge OLED Display

2. Optimized Design and Characterization of a Non-Linear 3D Misalignment Measurement System

3. Lidar-Based Stable Navigable Region Detection for Unmanned Surface Vehicles

4. View and Scanning-Depth Expansion Photographic Microscope Using Ultrafast Switching Mirrors

5. Data-driven robotic visual grasping detection for unknown objects: A problem-oriented review

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