TY - GEN
T1 - A low-cost rapid acquisition system of spatial data using an R/C helicopter based multi-sensor system
AU - Oh, Taewan
AU - Choi, Kyoungah
AU - Lee, Impyeong
PY - 2009
Y1 - 2009
N2 - The demands on Unmanned Aerial Vehicle (UAV) based multi-sensor systems have been increasing significantly according to the growth of a variety of applications in disaster, agriculture and military. Most of these systems employ expensive components such as a highly reliable UAV platform and high performance sensors with moderate weight and volume to acquire higher quality of spatial data in a more prompt way. The high cost of such a system, however, may have been the critical obstacle to extend their incorporation into more diverse applications. The purpose of this project is thus to develop a low-cost airborne multi-sensor system that can rapidly generate the spatial data such as geo-referenced image sequences. In this work, we use an R/C (Remote Control) helicopter, instead of the expensive UAV platform, equipped with low-cost multi-sensors such as a small format digital camera and an integrated GPS/MEMS INS sensor. To obtain more stable acquisition, we employ passive vibration relief damper between the platform and sensors instead of an active gimbal system. In addition, we use a low-cost off-theshelf UMPC (Ultra Mobile Personal Computer) to control the sensors and transmit the sensory data through a highspeed mobile wireless communication named "WiBro". Finally, the transmitted sensory data such as image sequences and GPS/INS data are jointly processed to generate georeferenced image sequences in near real-time. By applying the system to a real situation, we measured the performance of the system in terms of accuracy in producing the georeferenced image sequences and the efficiency of processing time.
AB - The demands on Unmanned Aerial Vehicle (UAV) based multi-sensor systems have been increasing significantly according to the growth of a variety of applications in disaster, agriculture and military. Most of these systems employ expensive components such as a highly reliable UAV platform and high performance sensors with moderate weight and volume to acquire higher quality of spatial data in a more prompt way. The high cost of such a system, however, may have been the critical obstacle to extend their incorporation into more diverse applications. The purpose of this project is thus to develop a low-cost airborne multi-sensor system that can rapidly generate the spatial data such as geo-referenced image sequences. In this work, we use an R/C (Remote Control) helicopter, instead of the expensive UAV platform, equipped with low-cost multi-sensors such as a small format digital camera and an integrated GPS/MEMS INS sensor. To obtain more stable acquisition, we employ passive vibration relief damper between the platform and sensors instead of an active gimbal system. In addition, we use a low-cost off-theshelf UMPC (Ultra Mobile Personal Computer) to control the sensors and transmit the sensory data through a highspeed mobile wireless communication named "WiBro". Finally, the transmitted sensory data such as image sequences and GPS/INS data are jointly processed to generate georeferenced image sequences in near real-time. By applying the system to a real situation, we measured the performance of the system in terms of accuracy in producing the georeferenced image sequences and the efficiency of processing time.
KW - Camera
KW - GPS
KW - INS
KW - R/C helicopter
KW - UAV
UR - http://www.scopus.com/inward/record.url?scp=84866113285&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84866113285
SN - 9781615679843
T3 - 30th Asian Conference on Remote Sensing 2009, ACRS 2009
SP - 1149
EP - 1154
BT - 30th Asian Conference on Remote Sensing 2009, ACRS 2009
T2 - 30th Asian Conference on Remote Sensing 2009, ACRS 2009
Y2 - 18 October 2009 through 23 October 2009
ER -