TY - GEN
T1 - Scene matching based on spatial relation constraint in suitable-matching area
AU - Li, Yaojun
AU - Yu, Ying
AU - Pan, Quan
AU - Zhao, Chunhui
PY - 2009
Y1 - 2009
N2 - Scene matching navigation system (SMNS) is one of the most effective ways of aided navigation for UAV. With anti-electronic interference and high resolution, SMN could be navigating and locating reliably and accurately. The navigational positioning ability with high reliability and high accuracy must be needed. For the complexity of the work environment of scene matching navigation on the platform of UAV, a multi-region scene matching algorithm for suitable-matching area based on the spatial relation constraint was proposed in this paper. This algorithm adopts parallel computing to improve the real-time performance of SMNS. The optimal allocation of coordinates of center point can be estimated ultimately by calculating the spatial relation of many match areas. So the precise location of real-time image center at the base map can be gotten. At last, a method based on previous navigation data was designed to check the location. To accomplish the on-line scene matching reliably and precisely, this algorithm only needs one real-time frame image to match base map every time. Experiments show that this algorithm meets the UAV navigation performance requirements such as real-time, robustness and high accuracy.
AB - Scene matching navigation system (SMNS) is one of the most effective ways of aided navigation for UAV. With anti-electronic interference and high resolution, SMN could be navigating and locating reliably and accurately. The navigational positioning ability with high reliability and high accuracy must be needed. For the complexity of the work environment of scene matching navigation on the platform of UAV, a multi-region scene matching algorithm for suitable-matching area based on the spatial relation constraint was proposed in this paper. This algorithm adopts parallel computing to improve the real-time performance of SMNS. The optimal allocation of coordinates of center point can be estimated ultimately by calculating the spatial relation of many match areas. So the precise location of real-time image center at the base map can be gotten. At last, a method based on previous navigation data was designed to check the location. To accomplish the on-line scene matching reliably and precisely, this algorithm only needs one real-time frame image to match base map every time. Experiments show that this algorithm meets the UAV navigation performance requirements such as real-time, robustness and high accuracy.
KW - Parallel scene matching
KW - Previous navigation data
KW - Spatial relation constraint
KW - Suitable-matching area
KW - UAV
UR - http://www.scopus.com/inward/record.url?scp=77949536885&partnerID=8YFLogxK
U2 - 10.1109/ICICISYS.2009.5357620
DO - 10.1109/ICICISYS.2009.5357620
M3 - 会议稿件
AN - SCOPUS:77949536885
SN - 9781424447541
T3 - Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
SP - 598
EP - 603
BT - Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
T2 - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
Y2 - 20 November 2009 through 22 November 2009
ER -