Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2024-12-26T07:52:21.540Z Has data issue: false hasContentIssue false
  • English
  • Français

Localisation method for a Mars aircraft using multispectral images

Published online by Cambridge University Press:  24 May 2018

H. Tokutake  and
M. Kido
H. Tokutake*
Affiliation:
Institute of Science and Engineering, Kanazawa University, Kanazawa, Japan
M. Kido
Affiliation:
Institute of Science and Engineering, Kanazawa University, Kanazawa, Japan
*
tokutake@se.kanazawa-u.ac.jp
Get access Rights & Permissions [Opens in a new window]

Abstract

In Japan, the working group for the Mars Exploration Aircraft continues to research and develop a Mars aircraft aiming to a future survey mission. To ensure the success of the flight mission, a self-localisation system with low-computational complexity is necessary. In the present research, a new self-localisation method is proposed using multispectral images. The algorithm is based on the simple mapping of image moment invariants and gradients calculated from several images at different wavelengths. The numerical simulations revealed the sufficient robustness of the proposed method to image noise. The estimation accuracy can be improved by increasing the number of the spectral images.

Keywords

Mars aircraftself-localisationmultispectral image
Type
Research Article
Information
The Aeronautical Journal , Volume 122 , Issue 1253 , July 2018 , pp. 1083 - 1101
Copyright
Copyright © Royal Aeronautical Society 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

1.Braun, R.D., Wright, H.S., Croom, M.A., Levine, J.S. and Spencer, D.A. Design of the ARES Mars airplane and mission architecture, J Spacecraft and Rockets, 2006, 43, (5), pp 1026–1034.CrossRefGoogle Scholar
2.Levine, J.S., Croom, M.A., Wright, H.S., Killough, B.D. and Edwards, W.C. The aerial regional-scale environmental surveyor (ARES): New Mars science to reduce human risk and prepare for the human exploration, Workshop on Concepts and Approaches for Mars Exploration, 2012, Houston, Texas, US, Paper No. 4086, NF1676L-14788.Google Scholar
3.Anyoji, M., Okamoto, M., Hidaka, H., Kondo, K., Oyama, A., Nagai, H. and Fujii, K. Control surface effectiveness of low Reynolds number flight vehicles, J Fluid Science and Technology, 2014, 9, (5), p JFST0072.CrossRefGoogle Scholar
4.Anyoji, M, Okamoto, M., Hidaka, H., Nonomura, T., Oyama, A. and Fujii, K. Planetary atmosphere wind tunnel tests on aerodynamic characteristics of a Mars airplane scale model, Transactions of the Japan Soc Aeronautical and Space Sciences, Aerospace Technology Japan, 2014, 12, (29), pp Pk_7–Pk_12.Google Scholar
5.Anyoji, M., Nonomura, T., Aono, H., Oyama, A., Fujii, K., Nagai, H. and Asai, K. Computational and experimental analysis of a high performance airfoil under low-Reynolds number flow condition, J Aircr, 2014, 51, (6), pp 1864–1872.CrossRefGoogle Scholar
6.Nagai, H. and Oyama, A. Development of Japanese Mars airplane, 67th International Astronautical Congress, 2016, Guadalajara, Mexico.Google Scholar
7.Fujita, K. and Nagai, H. Comparing aerial-deployment-mechanism designs for Mars airplane, Transactions of the Japan Soc Aeronautical and Space Sciences, 2016, 59, (6), pp 323–331.Google Scholar
8.Tokutake, H., Hiraguri, H. and Nishizawa, S. Exploration of wind structure on Mars using an airplane and flight feasibility study, Transactions of the Japan Soc Aeronautical and Space Sciences, 2017, 60, (4), pp 212–220.Google Scholar
9.Oyama, A., Nagai, H., Tokutake, H., Fujita, K., Anyoji, M., Toyota, H., Miyazaki, Y., Yonemoto, K., Okamoto, M., Nonomura, T., Motoda, M., Takeuchi, S., Kamata, Y., Otsuki, M., Asai, K. and Fujii, K. Flight system of Mars airplane balloon experiment-1 (MABE-1), 31st International Symposium on Space Technology and Science, 2017, Matsuyama, Japan.Google Scholar
10.Fujita, K., Tokutake, H., Nagai, H. and Oyama, A. Flight control parameter design for Mars airplane balloon experiment-1 (MABE-1) using evolutionary computation, 31st International Symposium on Space Technology and Science, 2017, Matsuyama, Japan.Google Scholar
11.Fujita, K. and Nagai, H. Robustness analysis on aerial deployment motion of a Mars airplane using multibody dynamics simulation: Effects of wing-unfolding torque and timing, The Aeronautical J, 2017, 121, (1238), pp 449–468.Google Scholar
12.Braun, R.D. and Manning, R.M. Mars exploration entry, descent, and landing challenges, J Spacecraft and Rockets, 2007, 44, (2), pp 310–323.Google Scholar
13.Johnson, A.E., Ansar, A., Matthies, L., Trawny, N., Mourikis, A. and Roumeliotis, S.I. A general approach to terrain relative navigation for planetary landing, AIAA Infotech@Aerospace 2007 Conference and Exhibit, AIAA 2007–2854, 2007, Rohnert Park, California, US.Google Scholar
14.Johnson, A.E., Cheng, Y., Montgomery, J.K., Trawny, N., Tweddle, B. and Zheng, J.X. Real-time terrain relative navigation test results from a relevant environment for Mars landing, AIAA Guidance, Navigation, and Control Conference, AIAA SciTech Forum, AIAA 2015-0851, 2015, Kissimmee, Florida, US.Google Scholar
15.Arai, K., Takamura, H.T., Inoue, H., Ono, M. and Adachi, S. Fast vision-based localization for a Mars airplane, SICE Annual Conference, 2014, Sapporo, Japan.CrossRefGoogle Scholar
16.Lightsey, E.G., Mogensen, A.E., Burkhart, P.D., Ely, T.A. and Duncan, C. Real-time navigation for Mars missions using the Mars network, J Spacecraft and Rockets, 2008, 45, (3), pp 519–533.Google Scholar
17.Hu, M.-K. Visual pattern recognition by moment invariants, IRE Transactions on Information Theory, 1962, 8, (2), pp 179–187.Google Scholar
18.Hupkens, T.M. and Clippeleir, J.D. Noise and intensity invariant moments, Pattern Recognition Letters, 1995, 16, (4), pp 371–376.CrossRefGoogle Scholar
19.Kuribara, M., Mochizuki, T. and Tokutake, H. Development of the attitude sensing system using thermopile sensors, Aerospace Technology Japan, 2015, 14, pp 7–15, (in Japanese).Google Scholar
20.CRISM MSL. Landing site selection - holden crater, Available from: http://crism.jhuapl.edu/msl_landing_sites/browse/Holden_Crater_Fan/index.php. Accessed April 2017.Google Scholar