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Optimal UAV localisation in vision based navigation systems
- Source :
- ICASSP
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- Optimal determination of a UAV using a vision-based system to match images against a database is an important problem. It can be reformulated to the problem of using multiregion scene registration to match areas of a noisy and distorted image to a geo-referenced image. Under the assumptions that the mapping between sensed and geo-referenced images preserves gradients of straight lines cross mapping points on images and registration errors are all Gaussian distributed, we derive a two-stage weighted linear least square algorithm which localises the UAV optimally. Performance of the proposed algorithm is demonstrated via Monte Carlo multiple runs along with those available in literature.
- Subjects :
- Signal processing
Vision based
Computer science
business.industry
Gaussian
Monte Carlo method
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
020206 networking & telecommunications
02 engineering and technology
Image (mathematics)
symbols.namesake
Computer Science::Computer Vision and Pattern Recognition
0202 electrical engineering, electronic engineering, information engineering
symbols
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
- Accession number :
- edsair.doi...........cb300c58c88057b1d788bb981409f2fb