Authors:
Eduard Angelats
and
José A. Navarro
Affiliation:
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC / CERCA), Spain
Keyword(s):
RPAS Photogrammetry, Rapid Indoor Mapping, Indoor Positioning, 3d Modelling, Emergency Response, Orientation, RGB-D Camera.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Health Engineering and Technology Applications
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
This work presents an early concept for a low-cost, lightweight fast mapping and positioning system suitable for civil protection and emergency teams working in post-disaster scenarios. Such a concept envisages continuous, seamless tracking in both indoor and outdoor environments; this would be possible because of the low geometric requirements set by emergency teams: knowing what is the floor and room where they are located is enough. The authors believe that current technologies (both hardware and software) are powerful enough to build such system; such an opinion is backed by an assessment of several currently available sensors (IMUs, RGB-D cameras, GNSS receivers), embedded processors and mapping and positioning algorithms as well as a feasibility study taking into account the several factors playing a role in the problem.