Landing Hazard Detection with Stereo Vision and Shadow Analysis

Under a Phase A Concept Study for the NASA New Millennium Program (NMP) ST9 mission, the Terrain Relative Guidance System (TRGS) project developed an approach to landing hazard detection with descent imagery for missions to most solid-surfaced bodies of the solar system. Unmanned planetary landers to date have landed “blind”; that is, without the benefit of onboard landing hazard detection and avoidance systems. This constrains landing site selection to very benign terrain, which in turn constrains the scientific agenda of missions. In this paper we review sensor options for landing hazard detection and identify an approach based on stereo vision and shadow analysis that addresses the broadest set of missions. We then develop performance models for slope estimation and rock detection with this approach and validate those models experimentally. Instantiating our model of rock detection reliability for Mars predicts that this approach will reduce the probability of failed landing by at least a factor of 4 in any given terrain. Conversely, for the safety level desired for the 2009 Mars lander, this approach would roughly triple the fraction of the planet that is accessible for landing. The key contributions of this work are identifying the most appropriate sensor approach, developing and validating the performance models, and quantifying the impact this could have on missions.

[1]  Larry Matthies,et al.  Stereo vision and rover navigation software for planetary exploration , 2002, Proceedings, IEEE Aerospace Conference.

[2]  Stergios I. Roumeliotis,et al.  A General Approach to Terrain Relative Navigation for Planetary Landing , 2007 .

[3]  N. Izenberg,et al.  Imaging of Small-Scale Features on 433 Eros from NEAR: Evidence for a Complex Regolith , 2001, Science.

[4]  Larry Matthies,et al.  Space Flight Test of Vision-Guided Planetary Landing System , 2007 .

[5]  Jonathan M. Garibaldi,et al.  Real-Time Correlation-Based Stereo Vision with Reduced Border Errors , 2002, International Journal of Computer Vision.

[6]  K. Herkenhoff,et al.  The Mast Cameras and Mars Descent Imager (MARDI) for the 2009 Mars Science Laboratory , 2005 .

[7]  A. McEwen,et al.  Morphology and Composition of the Surface of Mars: Mars Odyssey THEMIS Results , 2003, Science.

[8]  A. F. C. Haldemann,et al.  Rock size-frequency distributions on Mars and implications for Mars Exploration Rover landing safety and operations : Mars exploration rover mission and landing sites , 2003 .

[9]  Jeffrey W. Tripp,et al.  LAPS: the development of a scanning lidar system with GNC for autonomous hazard avoidance and precision landing , 2004, SPIE Defense + Commercial Sensing.

[10]  Douglas E. Bernard,et al.  Crater and rock hazard modeling for Mars landing , 2001 .

[11]  Carlos Villalpando Acceleration of Stereo Correlation in Verilog , 2006 .

[12]  Andrew E. Johnson,et al.  Lidar-Based Hazard Avoidance for Safe Landing on Mars , 2002 .

[13]  Yang Cheng,et al.  Passive imaging based multi-cue hazard detection for spacecraft safe landing , 2006, 2006 IEEE Aerospace Conference.

[14]  D. Moller,et al.  A millimeter-wave phased array radar for hazard detection and avoidance on planetary landers , 2003, 2003 IEEE Aerospace Conference Proceedings (Cat. No.03TH8652).