Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Integrated Position Estimation Using Aerial Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Autocalibration and the absolute quadric
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Registration of Video to Geo-Referenced Imagery
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Monte Carlo Strategies in Scientific Computing
Monte Carlo Strategies in Scientific Computing
Man-made structure detection in natural images using a causal multiscale random field
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
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
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A global pose estimation method of an Unmanned Aerial Vehicle (UAV) by matching forward-looking aerial images from the UAV flying at low altitude with down-looking images from a satellite is proposed. To overcome the limitation of significantly different camera viewpoints and characteristics, we use buildings as a cue of matching. We extract buildings from aerial images and construct a 3D model of buildings, using the fundamental matrix. We estimate the global pose of the vehicle by matching 3D structure of buildings with satellite images, using a particle filter. Experimental results show that the proposed approach is a promising method to the global pose estimation of the UAV with forward-looking vision data.