TY - GEN
T1 - Loose Coupled Initialization Method for Visual Inertial Navigation in Outdoor Low Altitude Flight Environment
AU - Wang, Yibin
AU - Yang, Chengwei
AU - Zhang, Cheng
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In the outdoor low altitude flight environment, the inertial navigation self-alignment initialization method is difficult to apply to the dynamic environment, since the non-autonomous alignment method is not accurate in the case with large misalignment angles, and the method of using visual-information-assisted inertial navigation system initialization relies on the horizon extraction algorithm or the advance deployment of artificial landmarks, which is not flexible enough. To solve the problems above, a loose coupled inertial navigation system initialization method is proposed aided by visual information. First, the feature points are segmented into sky end and ground end at the vision front end. And the camera poses in the camera coordinate system are calculated using the visual structure from motion. Then the camera poses and the re-integration of acceleration and angular velocity measurements are aligned to obtain the initialized poses. The performance of our algorithm is verified by performing a low altitude flight simulation in three cases with a semi-physical simulation system.
AB - In the outdoor low altitude flight environment, the inertial navigation self-alignment initialization method is difficult to apply to the dynamic environment, since the non-autonomous alignment method is not accurate in the case with large misalignment angles, and the method of using visual-information-assisted inertial navigation system initialization relies on the horizon extraction algorithm or the advance deployment of artificial landmarks, which is not flexible enough. To solve the problems above, a loose coupled inertial navigation system initialization method is proposed aided by visual information. First, the feature points are segmented into sky end and ground end at the vision front end. And the camera poses in the camera coordinate system are calculated using the visual structure from motion. Then the camera poses and the re-integration of acceleration and angular velocity measurements are aligned to obtain the initialized poses. The performance of our algorithm is verified by performing a low altitude flight simulation in three cases with a semi-physical simulation system.
KW - Fixed-wing UAV
KW - Inertial navigation initialization
KW - Low-altitude flight environment
KW - component
UR - http://www.scopus.com/inward/record.url?scp=85124800600&partnerID=8YFLogxK
U2 - 10.1109/ICRAE53653.2021.9657780
DO - 10.1109/ICRAE53653.2021.9657780
M3 - Conference contribution
AN - SCOPUS:85124800600
T3 - 2021 6th International Conference on Robotics and Automation Engineering, ICRAE 2021
SP - 89
EP - 96
BT - 2021 6th International Conference on Robotics and Automation Engineering, ICRAE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Robotics and Automation Engineering, ICRAE 2021
Y2 - 19 November 2021 through 22 November 2021
ER -