Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching Aerial Images to 3-D Terrain Maps
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance of optical flow techniques
International Journal of Computer Vision
The computation of optical flow
ACM Computing Surveys (CSUR)
Robot Vision
Advanced Flight Control System Design
Advanced Flight Control System Design
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Registration of Video to Geo-Referenced Imagery
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Object matching algorithms using robust Hausdorff distance measures
IEEE Transactions on Image Processing
Hybrid estimation of navigation parameters from aerial image sequence
IEEE Transactions on Image Processing
Two-dimensional object alignment based on the robust oriented Hausdorff similarity measure
IEEE Transactions on Image Processing
Pose and Motion Recovery from Feature Correspondences and a Digital Terrain Map
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vision-based unmanned aerial vehicle navigation using geo-referenced information
EURASIP Journal on Advances in Signal Processing - Special issue on signal processing advances in robots and autonomy
UAV global pose estimation by matching forward-looking aerial images with satellite images
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
The registration of UAV down-looking aerial images to satellite images with image entropy and edges
ICIRA'10 Proceedings of the Third international conference on Intelligent robotics and applications - Volume Part I
Quadrocopter control using an on-board video system with off-board processing
Robotics and Autonomous Systems
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This paper presents an integrated system for navigation parameter estimation using sequential aerial images, where navigation parameters represent the position and velocity information of an aircraft for autonomous navigation. The proposed integrated system is composed of two parts: relative position estimation and absolute position estimation. Relative position estimation recursively computes the current position of an aircraft by accumulating relative displacement estimates extracted from two successive aerial images. Simple accumulation of parameter values decreases the reliability of the extracted parameter estimates as an aircraftgoes on navigating, resulting in a large position error. Therefore, absolute position estimation is required to compensate for the position error generated in relative position estimation. Absolute position estimation algorithms by image matching and digital elevation model(DEM) matching are presented. In image matching, a robust-oriented Hausdorff measure (ROHM) is employed, whereas in DEM matching the algorithm using multiple image pairs is used. Experiments with four real aerial image sequences show the effectiveness of the proposed integrated position estimation algorithm.