Instance Segmentation for Autonomous Log Grasping in Forestry Operations-Reference-Cited by-同舟云学术

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Instance Segmentation for Autonomous Log Grasping in Forestry Operations

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:

Fortin Jean-Michel¹,Gamache Olivier¹,Grondin Vincent¹,Pomerleau Francois¹,Giguere Philippe¹

Affiliation:

1. Northern Robotics Laboratory, UniversitÉ Laval,QuÉbec City,Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09982286.pdf?arnumber=9982286

Reference36 articles.

1. SOLOv2: Dynamic and Fast Instance Segmentation;wang;Advances in neural information processing systems,2020

2. Masked autoencoders are scalable vision learners;he;ArXiv,2021

3. Focal Loss for Dense Object Detection

4. Scaling Vision Transformers;zhai;ArXiv,2021

5. Microsoft COCO: Common Objects in Context;lin;European Conference on Computer Vision,2014

Cited by 15 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. A Comparative Literature Review of Machine Learning and Image Processing Techniques Used for Scaling and Grading of Wood Logs;Forests;2024-07-17

2. Focusing on Object Extremities for Tree Instance Segmentation in Forest Environments;IEEE Robotics and Automation Letters;2024-06

3. Tree Instance Segmentation and Traits Estimation for Forestry Environments Exploiting LiDAR Data Collected by Mobile Robots;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Log Loading Automation for Timber-Harvesting Industry;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. Estimation of log-gripping position using instance segmentation for autonomous log loading;International Journal of Forest Engineering;2024-04-09

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