TY - GEN
T1 - Fast matching of feature point and relative motion estimation for asteroid landing phase
AU - Shengying, Zhu
AU - Rui, Xu
AU - Huan, Wang
AU - Haijing, Hu
PY - 2013
Y1 - 2013
N2 - Due to the extremely high requirements of real-time calculation ability and positioning accuracy, a rapid and robust image feature matching algorithm based on searching vector and small searching window is presented in this paper. Firstly, the image is obtained during landing, and then, combines the distance data acquired by laser altimeter and estimated information from the matching process of multiple images, the motion of the lander relative to asteroid can be precisely estimated. Finally, the validity and speediness of the proposed algorithm is confirmed by numerical simulations according to asteroids' images obtained in real deep space missions.
AB - Due to the extremely high requirements of real-time calculation ability and positioning accuracy, a rapid and robust image feature matching algorithm based on searching vector and small searching window is presented in this paper. Firstly, the image is obtained during landing, and then, combines the distance data acquired by laser altimeter and estimated information from the matching process of multiple images, the motion of the lander relative to asteroid can be precisely estimated. Finally, the validity and speediness of the proposed algorithm is confirmed by numerical simulations according to asteroids' images obtained in real deep space missions.
UR - http://www.scopus.com/inward/record.url?scp=84882291035&partnerID=8YFLogxK
U2 - 10.1109/ICCA.2013.6565119
DO - 10.1109/ICCA.2013.6565119
M3 - Conference contribution
AN - SCOPUS:84882291035
SN - 9781467347075
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 1235
EP - 1239
BT - 2013 10th IEEE International Conference on Control and Automation, ICCA 2013
T2 - 2013 10th IEEE International Conference on Control and Automation, ICCA 2013
Y2 - 12 June 2013 through 14 June 2013
ER -