Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The mathematic model of errors in correlation with the extreme navigation system (CENS) is developed basing on odometry and geo-referencing channels. The realization of the model is done in Simulink, and based on regular and random components of additive noise. The results of simulations prove accumulation of errors for odometry errors and its mitigation in case of geo-referencing in periods of correction.
Czasopismo
Rocznik
Tom
Strony
31--36
Opis fizyczny
Bibliogr. 8 poz., rys.
Twórcy
autor
- National Aviation University, Ukraine
autor
- National Aviation University, Ukraine
Bibliografia
- [1] Tsin, Y., Ramesh, V., and Kanade, T. (2001). Statistical calibration of CCD imaging process. In Eighth International Conference on Computer Vision (ICCV 2001), pp. 480–487, Vancouver, Canada
- [2] Grossberg, M. D. and Nayar, S. K. (2004). Modeling the space of camera response functions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(10):1272–1282.
- [3] Goodchild M. F., Gopal S. (ed.). The accuracy of spatial databases. – CRC Press, 1989. –193 p.
- [4] V. Kharchenko, M. Mukhina Correlation-extreme visual navigation of unmanned aircraft systems based on Speed-Up Robust Features // Aviation. No 2, Volume 18, 2014.
- [5] Conte G., Doherty P. Vision-based unmanned aerial vehicle navigation using geo-referenced information //EURASIP Journal on Advances in Signal Processing. – 2009. – P. 10.
- [6] Caballero F. et al. Vision-based odometry and SLAM for medium and high altitude flying UAVs //Unmanned Aircraft Systems. – Springer Netherlands, 2009. – P. 137-161.
- [7] Lindsten F. et al. Geo-referencing for UAV navigation using environmental classification //Robotics and Automation (ICRA), 2010 IEEE International Conference on. – IEEE, 2010. – P. 1420-1425.
- [8] Jiang R., Klette R., Wang S. Modeling of unbounded long-range drift in visual odometry //Image and Video Technology (PSIVT), 2010 Fourth Pacific-Rim Symposium on. – IEEE, 2010. – P. 121-126.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ea01c453-82bd-4f2f-ae87-b67aaf9e80f6