Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data-Reference-Cited by-同舟云学术

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Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data

Published:2019-11 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Saputra Roni Permana,Rakicevic Nemanja,Kormushev Petar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8957008/8967518/08967642.pdf?arnumber=8967642

Cited by 6 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. SimMining-3D: Altitude-Aware 3D Object Detection in Complex Mining Environments: A Novel Dataset and ROS-Based Automatic Annotation Pipeline;Lecture Notes in Computer Science;2023-11-27

2. Finding Biomechanically Safe Trajectories for Robot Manipulation of the Human Body in a Search and Rescue Scenario;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

3. Parallel Learning: Overview and Perspective for Computational Learning Across Syn2Real and Sim2Real;IEEE/CAA Journal of Automatica Sinica;2023-03

4. A Monte Carlo Framework for Incremental Improvement of Simulation Fidelity;Intelligent Autonomous Systems 17;2023

5. Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud;Proceedings of the 29th ACM International Conference on Multimedia;2021-10-17

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