Speckle velocimetry for high accuracy odometry for a Mars exploration rover

Measurement Science and Technology

Volumn 21, Issue 2, 2010, Pages

  Charrett, T O H ^a   Waugh, L ^b   Tatam, R P ^a  

^a CRANFIELD UNIVERSITY   (United Kingdom)

^b AIRBUS GROUP INNOVATIONS   (Germany)

Author keywords

Autonomous rover; Odometry; Speckle velocimetry

Indexed keywords

MARTIAN SURFACE ANALYSIS; SPECKLE; VELOCIMETERS;

AUTONOMOUS ROVERS; EXPLORATION ROVERS; LABORATORY TEST; MARS EXPLORATION ROVER; NORMALIZED CROSS CORRELATION; ODOMETRY; ODOMETRY ERRORS; PROCESSING METHOD;

VELOCITY MEASUREMENT;

EID: 75649122538     PISSN: 09570233     EISSN: 13616501     Source Type: Journal    
DOI: 10.1088/0957-0233/21/2/025301     Document Type: Article

References (22)

1. Borenstein J and Feng L 1995 UMBmark: a benchmark test for measuring odometry errors in mobile robots SPIE Conf. on Mobile Robots (Philadelphia, PA, USA, 22-26 October)
2. Maimone M W, Leger P C and Biesiadecki J J 2007 Overview of the Mars exploration rovers' autonomous mobility and vision capabilities IEEE Int. Conf. on Robotics and Automation (ICRA) Space Robotics Workshop (Roma, Italy, April)
3. Gassmann B, Zacharias F, Zollner J M and Dillmann R 2005 Localization of walking robots Proc. IEEE Int. Conf. on Robotics and Automation (Barcelona, Spain)
4. EADS Astrium 2007 Private communication
5. ESA ExoMars http://www.esa.int/esaMI/Aurora/SEM1NVZKQAD-0.html (Accessed February 2009)
6. Leger P C, Trebi-Ollennu A, Wright J R, Maxwell S A, Bonitz R G, Biesiadecki J J, Hartman F R, Cooper B K, Baumgartner E T and Maimone M W 2005 Mars exploration rover surface operations: driving Spirit at Gusev Crater IEEE Int. Conf. Syst. Man Cybern. 2 1815-22
7. Aberystwyth University 2007 Private communication
8. Aliverdiev A, Caponero M and Moriconi C 2003 Some issues concerning the development of a speckle velocimeter Tech. Phys. 48 1460-3
9. Palacin J, Valganon I and Pernia R 2006 The optical mouse for indoor mobile robot odometry measurement Sensors Actuators A 126 141-7
10. Horn B K P and Schunk B G 1981 Determining optical flow Artif. Intell. 16 185-203
11. Groves R M, Fu S, James S W and Tatam R P 2005 Single-axis combined shearography and digital speckle photography instrument for full surface strain characterization Opt. Eng. 44 025602
12. Lewis J P 1995 Fast template matching Vision Interface 95, Canadian Image Processing and Pattern Recognition Society (Quebec City, Canada, 15-19 May) pp 120-3
13. Adrian R J 2005 Twenty years of particle image velocimetry Exp. Fluids 39 159-69
14. Hild F and Roux S 2006 Digital image correlation: from displacement measurement to identification of elastic properties-a review Strain 42 69-80
15. Avago Technologies http://www.avagotech.com/pages/en/navigation- interface-devices/avago-mouse-sensor/ (Accessed August 2009)
16. Simoncelli E P 1994 Design of multi-dimensional derivative filters 1st IEEE Int. Conf. on Image Processing vol 1 pp 790-3
17. Brandt J W 1997 Improved accuracy in gradient-based optical flow estimation Int. J. Comput. Vis. 25 5-22
18. Timoner S J and Freeman D M 2001 Multi-image gradient-based algorithms for motion estimation Opt. Eng. 40 2003-16
19. Yu H, Leeser M and Tadmor G 2005 Real-time particle image velocimetry for feedback loops using FPGA implementation 43rd AIAA Aerospace Sciences Meeting and Exhibit, AIAA 2005-0445
20. Feng Y, Goree J and Liu B 2007 Accurate particle position measurement from images Rev. Sci. Instrum. 78 053704
21. Canny J 1986 A computational approach to edge detection IEEE Trans. Pattern Anal. Mach. Intell. 8 679-714
22. Bovik A 2005 Handbook of Image and Video Processing (Amsterdam: Elsevier)