TY - GEN
T1 - Review on vision-based pose estimation of UAV based on landmark
AU - Zhigui, Yang
AU - ChuanJun, Li
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/14
Y1 - 2017/12/14
N2 - UAV is widely used in military and civil fields, and autonomous landing navigation technology is the key technology of UAV. Traditional navigation technology such as GPS and INS can't meet the navigation requirements of the landing stage due to the influence of precision and disturbance. Visual navigation has the advantages of strong anti-interference ability, high precision, low cost and low power consumption, and is gradually applied to UAV navigation especially in the autonomous landing phase. UAV autonomous navigation based on visual navigation can be divided into external vision and airborne vision according to the installation location of visual sensor. Airborne vision has been widely used for better flexibility. The most important technique of UAV autonomous landing navigation based on airborne vision is to estimate the pose of UAV relative to landing field in the landing process. In this paper, we analyzes the principle of several pose parameter calculation algorithm based on landmark in the autonomous landing process, and summarize their characteristics. The aim of this review paper is to provide an extensive overview of existing UAV navigation pose estimation research and a guide for development in the future.
AB - UAV is widely used in military and civil fields, and autonomous landing navigation technology is the key technology of UAV. Traditional navigation technology such as GPS and INS can't meet the navigation requirements of the landing stage due to the influence of precision and disturbance. Visual navigation has the advantages of strong anti-interference ability, high precision, low cost and low power consumption, and is gradually applied to UAV navigation especially in the autonomous landing phase. UAV autonomous navigation based on visual navigation can be divided into external vision and airborne vision according to the installation location of visual sensor. Airborne vision has been widely used for better flexibility. The most important technique of UAV autonomous landing navigation based on airborne vision is to estimate the pose of UAV relative to landing field in the landing process. In this paper, we analyzes the principle of several pose parameter calculation algorithm based on landmark in the autonomous landing process, and summarize their characteristics. The aim of this review paper is to provide an extensive overview of existing UAV navigation pose estimation research and a guide for development in the future.
KW - autonomous landing
KW - position and pose estimation
KW - unmanned aerial vehicle
KW - vision navigation
UR - http://www.scopus.com/inward/record.url?scp=85047879727&partnerID=8YFLogxK
U2 - 10.1109/ICFST.2017.8210555
DO - 10.1109/ICFST.2017.8210555
M3 - Conference contribution
AN - SCOPUS:85047879727
T3 - Proceedings of 2017 2nd International Conference on Frontiers of Sensors Technologies, ICFST 2017
SP - 453
EP - 457
BT - Proceedings of 2017 2nd International Conference on Frontiers of Sensors Technologies, ICFST 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Frontiers of Sensors Technologies, ICFST 2017
Y2 - 14 April 2017 through 16 April 2017
ER -