Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss-Reference-Cited by-同舟云学术

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Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss

Published:2021-05-30 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Magistri Federico,Chebrolu Nived,Behley Jens,Stachniss Cyrill

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9560720/9560666/09561356.pdf?arnumber=9561356

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. Improving Robotic Fruit Harvesting Within Cluttered Environments Through 3D Shape Completion;IEEE Robotics and Automation Letters;2024-08

2. Efficient and Accurate Transformer-Based 3D Shape Completion and Reconstruction of Fruits for Agricultural Robots;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. System Calibration of a Field Phenotyping Robot with Multiple High-Precision Profile Laser Scanners;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Spatio-Temporal Correspondence Estimation of Growing Plants by Hausdorff Distance based Skeletonization for Organ Tracking;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. Spatio-temporal registration of plants non-rigid 3-D structure;ISPRS Journal of Photogrammetry and Remote Sensing;2023-11

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