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Horizon Line Stability Observations over the Sea

Published online by Cambridge University Press:  02 October 2017

Vladimir A. Grishin*
Affiliation:
(Space Research Institute of the Russian Academy of Sciences (RAS), Moscow, Russia)
Igor A. Maslov
Affiliation:
(Space Research Institute of the Russian Academy of Sciences (RAS), Moscow, Russia)
*

Abstract

Increasing the stability and reliability of navigation for mobile objects of different classes is becoming increasingly significant. Satellite navigation systems have a fundamental defect: a vulnerability to hacking and spoofing. Observation of the horizon line is significant for two applications. The first is stellar inertial navigation systems. In this case, the horizon line can be used for local vertical estimation. Errors in local vertical estimation directly affect coordinate errors. The second is correlation-extremal navigation based on the observed horizon line shape (when islands or continents are observed from aerial vehicles). In both cases, instability of the horizon line produces navigation errors. A measurement procedure for horizon line position estimation was proposed and realised. Around-the-clock horizon line shooting was undertaken in 2013. Processing of the results shows a horizon line direction instability of about 5–7 angular minutes during the day time.

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2017 

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References

REFERENCES

Blarre, L., Ouaknine, J., Oddos-Marcel, L. and Martinez, P.E. (2006). High Accuracy Sodern Star Trackers: Recent Improvements Proposed on SED36 and HYDRA Star Trackers. Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit, Guidance, Navigation, and Control and Co-located Conferences, 21-24 August, Keystone, Colorado, United States, AIAA 6046, 132138.Google Scholar
Bouyssounouse, X., Nefian, A., Thomas, A., Edwards, L., Deans, M.and Fong, T. (2016). Horizon Based Orientation Estimation for Planetary Surface Navigation. Proceedings of the 2016 IEEE International Conference on Image Processing (ICIP 2016), WPB-P5.7, 43684372.Google Scholar
CORDIS. (2017). Development of computer vision navigation system. CORDIS (the Community Research and Development Information Service). https://cordis.europa.eu/partners/web/req-961. Accessed 5 February 2017.Google Scholar
Cornall, T. and Egan, G. (2004). Measuring Horizon Angle from Video Onboard a UAV. Proceedings of the IEEE International Conference on Autonomous Robots and Agents, Palmerston North, New Zealand, 339344.Google Scholar
Cozman, F. and Krotkov, E. (1996). Position Estimation from Outdoor Visual Landmarks for Teleoperation of Lunar Rovers. Proceedings of the Third IEEE Workshop on Applications of Computer Vision, Washington, DC, 156161.Google Scholar
Cozman, F., Krotkov, E.and Guestrin, C. (2000).qtOutdoor, Visual Position, Estimation for, Planetary Rovers. Autonomous Robots, 9(2), 135150.CrossRefGoogle Scholar
Dumble, S.J. and Gibbens, P.W. (2015). Efficient Terrain-Aided Visual Horizon Based Attitude Estimation and Localization. Journal of Intelligent and Robotic Systems, 78(2), 205221.Google Scholar
Ettinger, S.M., Nechyba, M.C., Ifju, P.G. and Waszak, M. (2002). Towards Flight Autonomy: Vision-Based Horizon Detection for Micro Air Vehicles. Proceedings of the Florida conference on recent advances in robotics, Miami, FL, 17.Google Scholar
Gounley, R., White, R.and Gai, E. (1984). Autonomous satellite navigation by stellar refraction. Journal of Guidance, Control, and Dynamics, 7(2), 129134.Google Scholar
Grelsson, B., Felsberg, M.and Isaksson, F. (2015). Highly Accurate Attitude Estimation via Horizon Detection. Journal of Field Robotics, Article in journal (Refereed) Epub ahead of print, 127.Google Scholar
Gupta, V. and Brennan, S. (2007). Vehicle State Estimation Using Vision And Inertial Measurements. Proceedings of Fifth IFAC Symposium on Advances in Automotive Control, Pajaro Dunes, California, 40(10), 6370.Google Scholar
Gupta, V. and Brennan, S. (2008). Terrain-Based Vehicle Orientation Estimation Combining Vision and Inertial Measurements. Journal of Field Robotics, 25(3), 181202.Google Scholar
Horiuchi, T. (2009). A Low-Power Visual-Horizon Estimation Chip. IEEE Transactions on Circuits and Systems, 56(8), 15661575.Google Scholar
Iacobellis, S.F., Norris, J.R., Kanamitsu, M., Tyree, M.and Cayan, D.C. (2009). Climate variability and California low-level temperature inversions. Climate Change Center, California, Rep. CEC-500-2009-020-F. http://www.energy.ca.gov/2009publications/CEC-500-2009-020/CEC-500-2009-020-F.PDF. Accessed 5 February 2017.Google Scholar
IRES Infrared Earth Sensor. (2015). Selex ES S.p.A. - A Finmeccanica Company. http://www.leonardocompany.com/documents/63265270/65642596/IRES_Infrared_Earth_Sensor_LQ_mm07787_pdf?download_file. Accessed 5 February 2017.Google Scholar
ITU. (1997). Recommendation ITU-R P.835-2. Reference standard atmospheres. International Telecommunication Union, ITU-R Recommendations and Reports, ITU.Google Scholar
ITU. (2003). Recommendation ITU-R P.453-9. The radio refractive index: its formula and refractivity data. International Telecommunication Union, ITU-R Recommendations and Reports, ITU.Google Scholar
Janeiro, F.M., Wagner, F., Ramos, P.M. and Silva, A.M. (2007a). Automated Atmospheric Visibility Measurements using a Digital Camera and Image Registration. Proceedings of the 1st IMEKO TC-19 International Symposium on Measurement and Instrumentation for Environmental Monitoring, Ias̨i, Romenia, 1, 1317.Google Scholar
Janeiro, F.M., Wagner, F., Ramos, P.M. and Silva, A.M. (2007b). Atmospheric Visibility Measurements Based on a Low-Cost Digital Camera. Proceedings of the ConfTele, 6th Conference on Telecommunications, Peniche, Portugal, 1, 213216.Google Scholar
Kabanov, V.A. (2009). Parameters of the Stratified Meteorological Formations above the Black Sea. Radiophysics and Electronics, 14(1), 4346. (In Russian)Google Scholar
Kravtsov, Y.A. and Orlov, Y.I. (1990). Geometrical Optics of Inhomogeneous Media. Springer Series on Wave Phenomena. Series Vol. 6. Springer-Verlag. Berlin. Heidelberg.Google Scholar
Maslov, I.A. and Grishin, V.A. (2013). The Choice of the Optimal Spectral Range for Observation of the Earth Horizon, Technical Vision [online journal], 1, 24. (In Russian) http://magazine.technicalvision.ru/public_ftp/issue_1%281%29/%D0%A2%D0%B5%D1%85.%D0%B7%D1%80%D0%B5%D0%BD%D0%B8%D0%B5_1.pdf. Accessed 5 February 2017.Google Scholar
Maslov, I.A. and Grishin, V.A. (2015). Some results of monitoring marine horizon in the red and near infrared spectral ranges. Contemporary Problems of Remote Sensing of the Earth from Space, 12(1), 171180. (In Russian)Google Scholar
Meller, D., Sripruetkiat, P.and Makovec, K. (2000). Digital CMOS Cameras for Attitude Determination. Proceedings of the 14th Annual AIAA/USU Conference on Small Satellites. Paper SSC00-VII-1.Google Scholar
MODTRAN (MODerate resolution atmospheric TRANsmission). (2016). Wikipedia. https://en.wikipedia.org/wiki/MODTRAN Accessed 5 February 2017.Google Scholar
Nefian, A., Bouyssounouse, X., Edwards, L., Dille, M., Kim, T., Hand, E., Rhizor, J., Deans, M., Bebis, G. and Fong, T. (2014). Infrastructure Free Rover Localization. International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS), Montral, Canada.Google Scholar
Oiri, A., Nagatani, K.and Yoshida, K. (2010). Global positioning for Planetary Rovers based on Panoramic Skyline Image. Proceedings of the 2010 JSME Conference on Robotics and Mechatronics, Japan.Google Scholar
Optical Physics Company (OPC). (2014). High-accuracy SWIR Band Star Tracker for Day/Night Celestial Navigation. http://www.opci.com/wp-content/uploads/2014/08/OPCin14Profiles02.pdf. Accessed 5 February 2017.Google Scholar
Qian, H.M., Sun, L., Cai, J.-N. and Peng, Y. (2013). A novel navigation method used in a ballistic missile. Measurement Science and Technology, 24 (10), 110.Google Scholar
Ronald, L. I. (1968). The Mirages of La Encantada. Weather, 23(2), 5560.Google Scholar
Rozenbush, A.E. and Vid'machenko, A.P. (2011). Some Characteristics of Astronomical Climate on Mount Koshka, Simeiz. Kinematics and Physics of Celestial Bodies, 27(6), 317320.Google Scholar
Rushant, K. and Spacek, L. (1998). An Autonomous Vehicle Navigation System using Panoramic Machine Vision Techniques. Proceedings of the International Symposium on Intelligent Robotic Systems, (ISIRS’98), India, 17.Google Scholar
Sampson, R.D., Lozowski, E.P., Peterson, A.E. and Hube, D.P. (2003). Variability in the Astronomical Refraction of the Rising and Setting Sun. Astronomical Society of the Pacific, 115(812), 12561261.Google Scholar
Schaefer, B.E. and Liller, W. (1990). Refraction Near the Horizon. Astronomical Society of the Pacific, 102(653), 796805.Google Scholar
Scheidegger, N., Krpoun, R., Shea, H., Niclass, C.and Charbon, E. (2007). A new Concept for a Low-cost Earth Sensor: Imaging Oxygen Airglow with Arrays of Single Photon Detectors. 30th Annual AAS Guidance and Control Conference, Breckenridge, Colorado, AAS 07-062.Google Scholar
Shabayek, A., Demonceaux, C., Morel, O.and Fofi, D. (2012). Vision Based UAV Attitude Estimation: Progress and Insights. Journal of Intelligent & Robotic Systems, 65(1), 295308.Google Scholar
Shields, J.E., Johnson, R.W.and Karr, M.E. (1992). An Automated Observing System for Passive Evaluation of Cloud Cover and Visibility. Marine Physical Laboratory, Final Report, SIO Ref. 92-22, MPL-U-65/92, University of California, San Diego.Google Scholar
Shields, J.E., Karr, M.E., Johnson, R.W. and Burden, A.R. (2013). Day/night whole sky imagers for 24-h cloud and sky assessment: history and overview. Applied Optics, 52(8), 16051616.Google Scholar
Shipunov, A.G. and Semashkin, E.N. (2011). Operation range, day-and-night and all-weather capability of the TV and thermal imaging observation devices. Mashinostroenie. Moscow. (In Russian) Google Scholar
STD 15 Earth Sensor. (2004). SODERN Company. http://www.sodern.com/sites/docs_wsw/RUB_52/STD15.pdf. Accessed 5 February 2017.Google Scholar
STD 16 Earth Sensor. (2001). SODERN Company. URL: http://www.sodern.com/sites/docs_wsw/RUB_52/STD16.pdf Accessed 5 February 2017.Google Scholar
Talluri, R. and Aggarwal, J. (1993). Image/Map Correspondence for Mobile Robot Self-Location Using Computer Graphics. IEEE Trans. on PAMI, Special Issue on 3D Modeling in Image Analysis and Synthesis, 15(6), 597601.Google Scholar
Taylor, B., Bil, C., Watkins, S.and Egan, G. (2003). Horizon Sensing Attitude Stabilisation: A VMC Autopilot. Proceedings of the 18th International UAV Systems Conference, Bristol, UK, 19.Google Scholar
Thompson, W., Henderson, T., Colvin, T., Dick, L.and Valiquette, C. (1993). Vision-Based Localization. DARPA Image Understanding Workshop, Maryland, 491498.Google Scholar
Xinlong, W. and Shan, M. (2009). A Celestial Analytic Positioning Method by Stellar Horizon Atmospheric Refraction. Chinese Journal of Aeronautics, 22(3), 293300.Google Scholar
Young, A.T. (2004). Sunset Science. IV. Low-Altitude Refraction. The Astronomical Journal, 127(6), 36223637.Google Scholar