Estimation Method of Rotation Parameters of a Small Planetary Body and Position of a Rover Based on Measurements of Round-trip Propagation Delay

We proposed a method of localization for a space rover, which is useful for a rover even on a small planetary body with diameter less than 1000m. It measures round-trip propagation delay between the rover and a mother spacecraft based on radio waves. Together with these measurement data, information of rotational parameters of the small planetary body is used for localization in this method. Simulation results suggested that uncertainty in the direction of the rotation axis of the small planetary body has a serious effect on the localization accuracy. In this paper, a method to estimate the rotational parameters of the small planetary body together with the position of the rover is proposed. Estimation method of the rotational parameters are formulated as an optimization problem. Normal method based on gradient is useless to solve this optimization problem because the performance index has different scales of sensitivity to each estimation parameter. In order to avoid this problem, minimum search based on the gradient was divided into three steps. Numerical simulations assumed a rover on a small planetary body are shown to evaluate the estimation accuracy of the proposed method. Discussions about the sensitivity direction of the proposed method are also described here.

[1]  J. Kawaguchi,et al.  The Rubble-Pile Asteroid Itokawa as Observed by Hayabusa , 2006, Science.

[2]  Clark F. Olson,et al.  Localization of Mars rovers using descent and surface‐based image data , 2002 .

[3]  Akira Fujiwara,et al.  Hayabusa and its adventure around the tiny asteroid Itokawa , 2006, Proceedings of the International Astronomical Union.

[4]  Takashi Kubota,et al.  Micro-hopping robot for asteroid exploration , 2003 .

[5]  Cui Pingyuan,et al.  Attitude and position determination scheme of lunar rovers basing on the celestial vectors observation , 2007, 2007 IEEE International Conference on Integration Technology.

[6]  Peter C. Thomas,et al.  Gravity, Tides, and Topography on Small Satellites and Asteroids: Application to Surface Features of the Martian Satellites , 1993 .

[7]  Evangelos E. Milios,et al.  Robot Pose Estimation in Unknown Environments by Matching 2D Range Scans , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[8]  K. Di,et al.  Rover Localization and Landing Site Mapping Technology for the 2003 Mars Exploration Rover Mission , 2004 .

[9]  E.W.Y. So,et al.  Relative localization of a hopping rover on an asteroid surface using optical flow , 2008, 2008 SICE Annual Conference.

[10]  Takashi Kubota,et al.  Map Matching Scheme for Position Estimation of Planetary Explorer in Natural Terrain , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[11]  J. Terazono,et al.  Detailed Images of Asteroid 25143 Itokawa from Hayabusa , 2006, Science.

[12]  Donald B. Gennery Visual terrain matching for a Mars rover , 1989, Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[13]  Takahide Mizuno,et al.  Mass and Local Topography Measurements of Itokawa by Hayabusa , 2006, Science.

[14]  Elijah Polak,et al.  Optimization: Algorithms and Consistent Approximations , 1997 .

[15]  Eric Krotkov,et al.  Position estimation from outdoor visual landmarks for teleoperation of lunar rovers , 1996, Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96.

[16]  Evangelos E. Milios,et al.  Robot Pose Estimation in Unknown Environments by Matching 2D Range Scans , 1997, J. Intell. Robotic Syst..

[17]  James R. Wertz,et al.  Spacecraft attitude determination and control , 1978 .

[18]  Edward Tunstel,et al.  Mars exploration rover surface operations: driving opportunity at Meridiani Planum , 2006, IEEE Robotics Autom. Mag..