DocumentCode :
236029
Title :
Characteristics of indoor disaster environments for small UASs
Author :
Agarwal, Sankalp ; Murphy, R.R. ; Adams, Julie A.
Author_Institution :
Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
1
Lastpage :
6
Abstract :
This paper provides a formal analysis of indoor disaster environments that impact the design of small unmanned aerial systems (SUASs), their navigational algorithms, and their sensors. Four characteristics of a region of space: scale, degree of deconstruction, location of obstacles, and tortuosity are described. The analysis compares the value of these characteristics for Prop 133 at Disaster City® with twelve SUASs that have flown inside a disaster damaged building or other physical or computer simulated indoor space; the analysis normalizes the platform size. Eleven of the twelve systems were tested in more spacious regions (habitable) than the regions typified by Prop 133 (restricted maneuverability). Only one of the twelve systems was tested in a deconstructed environment; likewise only one testbed placed obstacles in equivalent configurations to those in Prop 133. The tortuosity of the testbeds was at best half of the tortuosity of Prop 133. The paper concludes that current obstacle avoidance and simultaneous localization and mapping algorithms vetted with those testbeds may not perform well in actual disaster environments.
Keywords :
autonomous aerial vehicles; building management systems; collision avoidance; disasters; indoor navigation; sensors; service robots; Disaster City; Prop 133; SUAS; computer simulated indoor space;; disaster damaged building; formal analysis; indoor disaster environments; localization algorithms; mapping algorithms; navigational algorithms; obstacle avoidance; sensors; small UAS; small unmanned aerial systems; Buildings; Cities and towns; Computers; Earthquakes; Navigation; Robots; Sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Safety, Security, and Rescue Robotics (SSRR), 2014 IEEE International Symposium on
Conference_Location :
Hokkaido
Type :
conf
DOI :
10.1109/SSRR.2014.7017661
Filename :
7017661
Link To Document :
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