Towards Automated Void Detection for Search and Rescue with 3D Perception
Author:
Affiliation:
1. Robotics Institute, Carnegie Mellon University,Pittsburgh,PA,USA
2. Birla Institute of Technology and Science,Pilani,Goa,India
3. Florida State University,Tallahassee,FL,USA
4. Texas AM University,College Station,TX,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10341341/10341342/10341454.pdf?arnumber=10341454
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3. At least 9 victims of 98 dead may have initially survived surfside condo collapse, but were not found by rescue teams, investigation shows;Rhodes;USA Today,2021
4. Nine of the 98 surfside victims may have survived the initial condo collapse: Fire rescue logs show woman was alive in rubble for ten hours;Thaler;UK Daily Mail,2021
5. Detecting, locating, and characterizing voids in disaster rubble for search and rescue
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