Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2014, Vol. 11, No. 3, pp. 268-277
Computational estimation of daily variations of local vertical direction derived from horizon line observation
1 Space Research Institute RAS, Moscow, Russia
N.E. Bauman Moscow State Technical University, Moscow, Russia
The horizon line which can be observed in different optical bands is used for navigation. In particular, local vertical is determined on horizon line. Local vertical together with star sensor are used for calculation latitude and longitude. It is necessary to distinguish two cases. In the first case, the horizon line is formed by the contrast between Earth and the atmosphere. It is possible only if absorption and dissipation are not too large. In the second case absorption and dissipation are too large that we cannot observe the line which separates images of Earth and sky. In this case, the line which we see as the horizon really is generated by the contrast between different atmospherical layers. Said contrast is formed as the result of the complicated process of sunlight propagation in the Earth atmosphere, absorption and dissipation of this sunlight, as well as reflection sunlight from the earth surface. Intrinsic Earth radiation is added in the infrared bands. Daily movement of the sun, as the powerful radiation source, across the sky influences on all these processes. Incoming radiation for different angles of elevation and azimuths were calculated. On results of calculations, the elevation angle of the horizon line was determined as the direction of extremal contrast. Local vertical orientation was calculated on the elevation angles in 36 directions on the azimuth. These calculations were performed for various times during the day and night, for different altitudes and for different strips of the optical wavelength band.
Keywords: horizon line image, light absorption and dissipation in atmosphere, influence the Sun daily movement to the local vertical calculation errors.
Full textReferences:
- Grishin V.A., Analiz vidimosti linii gorizonta pri razlichnykh usloviyakh nablyudeniya dlya resheniya zadach opticheskoi navigatsii letatel'nykh apparatov (Horizon line visibility analysis on different observation condition for the task of optical navigation for aircraft), Tret'ya Vserossiiskaya nauchno-tekhnicheskaya konferentsiya “Sovremennye problemy orientatsii i navigatsii kosmicheskikh apparatov” (Proc. 3d All-Russian Scientific and Technological Conference “Contemporary Problems of Spacecraft Attitude Determination and Control”), Moscow, IKI RAN, 2013, pp. 345-352, available at: http://www.iki.rssi.ru/books/2013avanesov.pdf.
- Maslov I.A., Grishin V.A., Vybor optimal'nogo spektral'nogo diapazona dlya nablyudeniya gorizonta Zemli (The Choice of the Optimal Spectral Range for Observation of the Earth Horizon), Tekhnicheskoe zrenie, 2013, No. 1, pp. 2-4, available at: http://magazine.technicalvision.ru/public_ftp/ %D0%A2%D0%B5%D1%85.%D0%B7%D1%80%D0%B5%D0%BD%D0%B8%D0%B5_1.pdf.
- Tuchin M.S., Zakharov A.I., Prokhorov M.E., Opredelenie geovertikali po nablyudeniyu limba Zemli (Geovertical Determination from Observation of Earth's Limb), Vtoraya Vserossiiskaya nauchno-tekhnicheskaya konferentsiya “Sovremennye problemy orientatsii i navigatsii kosmicheskikh apparatov” (Proc. 2d All-Russian Scientific and Technological Conference “Contemporary Problems of Spacecraft Attitude Determination and Control”), Moscow, IKI RAN, 2011, pp. 100-110, available at: http://www.iki.rssi.ru/books/2011avanesov.pdf.
- Cornall T., Egan G., Measuring Horizon Angle from Video Onboard a UAV, Proceedings of the IEEE International Conference on Autonomous Robots and Agents, Palmerston North, New Zealand, 2004, pp. 339-344.
- Cozman F., Krotkov E., Guestrin C., Outdoor Visual Position Estimation for Planetary Rovers, Autonomous Robots, 2000, Vol. 9, No. 2, pp. 135–150.
- Demonceaux C., Vasseur P., Pegard C., Omnidirectional Vision on UAV for Attitude Computation, Proceedings of IEEE International Conference on Robotics and Automation (ICRA 2006), Orlando, FL, 2006, pp. 2842-2847.
- Gupta V., Brennan S., Vehicle State Estimation Using Vision and Inertial Measurements, Fifth IFAC Symposium on Advances in Automotive Control, Monterey Coast, CA, 2007, Vol. 5, Part 1, pp. 65-70.
- Gupta V., Brennan S., Terrain-Based Vehicle Orientation Estimation Combining Vision and Inertial Measurements, Journal of Field Robotics, 2008, Vol. 25, Issue 3, pp. 181–202.
- Horiuchi T., A Low-Power Visual Horizon Estimation Chip, IEEE Transactions on Circuits and Systems, 2009, Vol. 56, Issue 8, pp. 1566-1575.
- Meller D., Sripruetkiat P., Makovec K., Digital CMOS Cameras for Attitude Determination, Proceedings of the 14th AIAA/USU Conference on Small Satellites, Logan, Utah, 2000, pp. 1–12.
- Oiri A., Nagatani K., Yoshida K., Global Positioning for Planetary Rovers Based on Panoramic Skyline Image, Proceedings of the 2010 JSME Conference on Robotics and Mechatronics, Japan, 2010.
- Phenneger M., Singhal S., Lee T., Stengle T., Infrared Horizon Sensor Modeling for Attitude Determination and Control: Analysis and Mission Experience, Washington, D.C.: Books LLC, 1985, 470 p.
- Sabatini R., Bartel C., Shaid T., Kaharkar A., Low-cost Vision Sensors and Integrated Systems for Unmanned Aerial Vehicle Navigation, ARPN Journal of Systems and Software, 2012, Vol. 2, Issue 11, pp. 323-349.
- Shabayek Abd El R., Demonceaux C., Morel O., Fofi D., Vision Based UAV Attitude Estimation: Progress and Insights, Journal of Intelligent and Robotic Systems, 2012, Vol. 65, Issue 1-4, pp. 295-308.