TY  - JOUR
PY  - 2016//
TI  - Vision-based responders localization techniques in urban search and rescue scenarios
JO  - Conference proceedings - IEEE engineering in medicine and biology society
A1  - Yang, Zhuorui
A1  - Ganz, Aura
A1  - Zhuorui Yang, 
A1  - Ganz, Aura
A1  - Yang, Zhuorui
A1  - Ganz, Aura
SP  - 2640
EP  - 2643
VL  - 2016
IS  - 
N2  - In this paper, we introduce a vision-based localization algorithm that can accurately track responders during rescue operations in urban areas that are Global Navigation Satellite System (GNSS)-denied. The proposed algorithm works successfully with the rich visual features of an urban environment and obtains an average localization accuracy of 2.5 ft. In addition, we also provide a 3D representation of the disaster field which reflects the current conditions of the site.<p />  <p>Language: en</p>
LA  - en
SN  - 1557-170X
UR  - http://dx.doi.org/10.1109/EMBC.2016.7591272
ID  - ref1
ER  -