TY - GEN
T1 - Multisensory Surveillance Drone for Survivor Detection and Geolocalization in Complex Post-Disaster Environment
AU - Rohman, Budiman P.A.
AU - Andra, M. B.
AU - Putra, H. F.
AU - Fandiantoro, D. H.
AU - Nishimoto, Masahiko
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - The large scale natural disasters often result in a large death victim number and severe damage to buildings. Although some of the impacts can be reduced by the foreseeable future, they cannot be fully eliminated. In order to minimize the victim number, we propose a multisensory surveillance drone system employed an autonomous and robust unmanned aerial vehicle equipped with multiple sensors for specifically enhancing the search and rescue mission to detect the survivors in the post-disaster area. As the main sensors, we employ an ultra-wideband radar; microphone array, camera, and an RFID reader. For making the geolocalization of the detected survivors, we also employ laser range finder and LIDAR. This paper will discuss briefly the system design and the development progress of the project. Besides, the next step of the development is also presented.
AB - The large scale natural disasters often result in a large death victim number and severe damage to buildings. Although some of the impacts can be reduced by the foreseeable future, they cannot be fully eliminated. In order to minimize the victim number, we propose a multisensory surveillance drone system employed an autonomous and robust unmanned aerial vehicle equipped with multiple sensors for specifically enhancing the search and rescue mission to detect the survivors in the post-disaster area. As the main sensors, we employ an ultra-wideband radar; microphone array, camera, and an RFID reader. For making the geolocalization of the detected survivors, we also employ laser range finder and LIDAR. This paper will discuss briefly the system design and the development progress of the project. Besides, the next step of the development is also presented.
KW - computer vision
KW - detection and localization
KW - disaster
KW - microphone array
KW - radio frequency identification
KW - survivor
KW - ultra-wideband radar
UR - http://www.scopus.com/inward/record.url?scp=85077703882&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2019.8899804
DO - 10.1109/IGARSS.2019.8899804
M3 - Conference contribution
AN - SCOPUS:85077703882
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 9368
EP - 9371
BT - 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Y2 - 28 July 2019 through 2 August 2019
ER -