TY - GEN
T1 - Estimation of scale and slope information for structure from motion-based 3D map
AU - Shao, Yuyang
AU - Ji, Yonghoon
AU - Fujii, Hiromitsu
AU - Nagatani, Keiji
AU - Yamashita, Atsushi
AU - Asama, Hajime
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/2/1
Y1 - 2018/2/1
N2 - Dealing with natural disasters, such as debris flow, typically involves teleoperation of an unmanned robot. Three-dimensional (3D) map information of an environment is especially useful for teleoperating the unmanned robot system to perform unmanned construction and auto-investigation. Recently, structure from motion (SfM) using an unmanned aerial vehicle (UAV) equipped with monocular cameras has been proposed as a general method to build 3D map information. However, absolute slope and scale information for the built 3D map cannot be obtained when applying general SfM technology without the deployment of ground control points (GCPs). Therefore, we propose a method that can recover absolute slope and scale information for a 3D map. To this end, we apply sensor fusion technology that combines inertial measurement unit (IMU) data from an unmanned ground vehicle (UGV) and image data from the camera mounted on a UAV. Experimental results show that our estimation scheme is able to successfully represent the slope and scale information along with the 3D map.
AB - Dealing with natural disasters, such as debris flow, typically involves teleoperation of an unmanned robot. Three-dimensional (3D) map information of an environment is especially useful for teleoperating the unmanned robot system to perform unmanned construction and auto-investigation. Recently, structure from motion (SfM) using an unmanned aerial vehicle (UAV) equipped with monocular cameras has been proposed as a general method to build 3D map information. However, absolute slope and scale information for the built 3D map cannot be obtained when applying general SfM technology without the deployment of ground control points (GCPs). Therefore, we propose a method that can recover absolute slope and scale information for a 3D map. To this end, we apply sensor fusion technology that combines inertial measurement unit (IMU) data from an unmanned ground vehicle (UGV) and image data from the camera mounted on a UAV. Experimental results show that our estimation scheme is able to successfully represent the slope and scale information along with the 3D map.
UR - http://www.scopus.com/inward/record.url?scp=85050874033&partnerID=8YFLogxK
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U2 - 10.1109/SII.2017.8279213
DO - 10.1109/SII.2017.8279213
M3 - Conference contribution
AN - SCOPUS:85050874033
T3 - SII 2017 - 2017 IEEE/SICE International Symposium on System Integration
SP - 208
EP - 213
BT - SII 2017 - 2017 IEEE/SICE International Symposium on System Integration
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE/SICE International Symposium on System Integration, SII 2017
Y2 - 11 December 2017 through 14 December 2017
ER -