Landing with Time-to-Contact and Ventral Optic Flow Estimates

作者: Dario Izzo , Guido de Croon

DOI: 10.2514/1.56598

关键词:

摘要: Many recent studies on autonomous spacecraft landing use computer vision methods to improve the accuracy of state estimates used for landing. Typically, these integrate module with other exteroceptive sensors such as laser or radar altimeters. This is a sensible approach main system large spacecraft. However, backup emergency much smaller spacecrafts, solution entirely based and proprioceptive (e.g. gyros) could lead significant mass savings. Small flying animals are capable safe accurate landings while relying only visual information. Since this capability holds promise safely limited processing, it has served inspiration studies. The focus been ventral optic flow, measure translational velocity divided by height. Bees known flow controlling their speed height, also when In particular, landing, they keep constant. Valette et al. study control law that implements strategy, simulating moon. disadvantages sole two-fold. First, vertical dynamics lander left free. can have same constant value trajectory in which ascends accelerating descends decelerating. Thus, one directly indirectly assume some type descent profile, example introducing pitch Without additional information compute an optimal leads considerable expense propellant undefined final low-gate conditions. Second, case straight zero. case, e.g. terminal phase asteroid scenario, does not provide any how land Advanced Concepts Team, European Space Agency, dario.izzo@esa.int Exteroceptive observe entities external spacecraft, quantities within “body”.

参考文章(21)
Emily Baird, Mandyam V. Srinivasan, Shaowu Zhang, Richard Lamont, Ann Cowling, Visual Control of Flight Speed and Height in the Honeybee From Animals to Animats 9. ,vol. 4095, pp. 40- 51 ,(2006) , 10.1007/11840541_4
N. Takeda, M. Watanabe, K. Onoguchi, Moving obstacle detection using residual error of FOE estimation intelligent robots and systems. ,vol. 3, pp. 1642- 1647 ,(1996) , 10.1109/IROS.1996.569032
Bruno Herissé, Tarek Hamel, Robert Mahony, François-Xavier Russotto, None, Landing a VTOL Unmanned Aerial Vehicle on a Moving Platform Using Optical Flow IEEE Transactions on Robotics. ,vol. 28, pp. 77- 89 ,(2012) , 10.1109/TRO.2011.2163435
Mandyam Srinivasan, Saul Thurrowgood, Dean Soccol, Competent vision and navigation systems IEEE Robotics & Automation Magazine. ,vol. 16, pp. 59- 71 ,(2009) , 10.1109/MRA.2009.933627
Andrew Johnson, Reg Willson, Yang Cheng, Jay Goguen, Chris Leger, Miguel Sanmartin, Larry Matthies, Design Through Operation of an Image-Based Velocity Estimation System for Mars Landing International Journal of Computer Vision. ,vol. 74, pp. 319- 341 ,(2007) , 10.1007/S11263-006-0022-Z
J. J. Koenderink, Andrea J. van Doorn, Facts on optic flow Biological Cybernetics. ,vol. 56, pp. 247- 254 ,(1987) , 10.1007/BF00365219
Gaurav Sukhatme, Larry Matthies, Gabe Sibley, Sliding window filter with application to planetary landing Journal of Field Robotics. ,vol. 27, pp. 587- 608 ,(2010) , 10.1002/ROB.V27:5
Dario Izzo, Nicolás Weiss, Tobias Seidl, Constant-Optic-Flow Lunar Landing: Optimality and Guidance Journal of Guidance Control and Dynamics. ,vol. 34, pp. 1383- 1395 ,(2011) , 10.2514/1.52553