Deep Learning-Based Connector Detection for Robotized Assembly of Automotive Wire Harnesses

Author:

Wang Hao1,Johansson Björn1

Affiliation:

1. Chalmers University of Technology,Division of Production Systems,Department of Industrial and Materials Science,Sweden

Publisher

IEEE

Reference48 articles.

1. Deep learning;lecun;Nature,2015

2. Deformable detr: Deformable transformers for end-to-end object detection;zhu;International Conference on Learning Representations,0

3. A Practical Solution to Deformable Linear Object Manipulation: A Case Study on Cable Harness Connection

4. End-to-end object detection with transformers;carion;Computer Vision - ECCV 2020,2020

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Monocular Estimation of Connector Orientation: Combining Deformable Linear Object Priors and Smooth Angle Classification;2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM);2024-07-15

2. Cobot for Automated Vision Data: Streamlining Production with Automated Annotations for Machine Learning;2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA);2024-02-01

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