Human-in-the-Loop Robot-Augmented Intelligent System for Emergency Reconnaissance-Reference-Cited by-同舟云学术

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Human-in-the-Loop Robot-Augmented Intelligent System for Emergency Reconnaissance

Published:2022-05-24 Issue: Volume: Page:
ISSN:
Container-title:Computing in Civil Engineering 2021
language:
Short-container-title:

Author:

Hu Da¹¹²³,Li Shuai¹¹²³,Du Jing¹¹²³,Cai Jiannan¹¹²³

Affiliation:

1. Dept. of Civil and Environmental Engineering, Univ. of Tennessee, Knoxville, TN.

2. Engineering School of Sustainable Infrastructure and Environment, Univ. of Florida, Gainesville, FL.

3. Dept. of Construction Science, Univ. of Texas at San Antonio, San Antonio, TX.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784483893.172

Reference28 articles.

1. Bacim F. Ragan E. D. Stinson C. Scerbo S. and Bowman D. A. (2012). “Collaborative navigation in virtual search and rescue.” IEEE Symp. 3D User Interfaces 2012 3DUI 2012 - Proc. 187–188.

2. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

3. BLS. (2019). “Fatal Occupational Injuries to Emergency Responders.” (Aug. 3 2020).

4. Multi-robot system for disaster area exploration.;Burian F.;WIT Trans. Ecol. Environ,2014

5. Human-robot interactions during the robot-assisted urban search and rescue response at the World Trade Center.;Casper J.;IEEE Trans. Syst. Man, Cybern. Part B Cybern,2003

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