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Stable Estimation of Horizontal Velocity for Planetary Lander with Motion Constraints 被引量：1
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作者 Wei Shao Shulin Sui +1 位作者 Lin Meng yaobin yue 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI 2015年第2期198-206,共9页
The planetary lander usually selects image feature points and tracks them from frame to frame in order to determine its own position and velocity during landing. Aiming to keep features tracking in consecutive frames,... The planetary lander usually selects image feature points and tracks them from frame to frame in order to determine its own position and velocity during landing. Aiming to keep features tracking in consecutive frames, this paper proposes an approach of calculating the field of view (FOV) overlapping area in a 2D plane. Then the rotational and translational motion constraints of the lander can be found. If the FOVs intersects each other, the horizontal velocity of the lander is quickly estimated based on the least square method after the ill-conditioned matrices are eliminated previously. The Monte Carlo simulation results show that the proposed approach is not only able to recover the ego-motion of planetary lander, but also improves the stabilization performance. The relationship of the estimation error, running time and number of points is shown in the simulation results as well. © 2014 Chinese Association of Automation. 展开更多
关键词 Intelligent systems LANDING Least squares approximations Monte Carlo methods VELOCITY
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