A multi-modal scanning system to digitize CBRNE emergency response scenes-Reference-Cited by-同舟云学术

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A multi-modal scanning system to digitize CBRNE emergency response scenes

Published:2022-11-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)
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Author:

Salathe Marco¹,Quiter Brian J.¹,Bandstra Mark S.¹,Chen Xin¹,Negut Victor¹,Folsom Micah¹,Weber Gunther H.²,Greulich Christopher³,Swinney Mathew³,Prins Nicholas³,Archer Daniel E.³

Affiliation:

1. Applied Nuclear Physics Program at Lawrence Berkeley National Laboratory,Berkeley,CA,USA,94720

2. Lawrence Berkeley National Laboratory,Machine Learning and Analytics group, Computer Science Research Division

3. Oak Ridge National Laboratory,Oak Ridge,TN,USA,37831

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10018603/10018585/10018826.pdf?arnumber=10018826

Reference26 articles.

1. Comparison of the Selected State-Of-The-Art 3D Indoor Scanning and Point Cloud Generation Methods

2. Design, Calibration, and Evaluation of a Backpack Indoor Mobile Mapping System

3. Free-moving Quantitative Gamma-ray Imaging

4. State-of-the-Art Mobile Radiation Detection Systems for Different Scenarios

5. Puck LITE, Velodyne Lidar, Inc.;5521 Hellyer Avenue,0

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. Machine learning -based decision support framework for CBRN protection;Heliyon;2024-02

2. IDTMM: Incremental Direct Triangle Mesh Mapping;IEEE Robotics and Automation Letters;2023-09

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