A Holistic Vision-based Hazard Detection Framework for Asteroid Landings

Abstract A holistic vision-based hazard detection framework for asteroid landing is introduced in this paper. The proposed holistic conjecture takes advantage of the Hough Transform method and decision forests, shares the simplicity and wide applicability of the Hough transform but bypasses the problem of obstacle multi-size detection and permits detection of multiple objects. The framework is conducive to hazard avoidance, satisfying the safe bound of the lander and the exploration task, and adaptive to environment, autonomous without additive complex filtering. The results show that the framework provides detection and localization performance close to that of human calibrations and can be further improved when larger and more diverse datasets are available.

[1]  Larry H. Matthies,et al.  The Mars Exploration Rovers Descent Image Motion Estimation System , 2004, IEEE Intell. Syst..

[2]  David K. Rutishauser,et al.  Helicopter Field Testing of NASA's Autonomous Landing and Hazard Avoidance Technology (ALHAT) System fully Integrated with the Morpheus Vertical Test Bed Avionics , 2013 .

[3]  Rie Honda,et al.  Learning to Detect Small Impact Craters , 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.

[4]  C. Y. Villalpando,et al.  A hybrid FPGA/Tilera compute element for autonomous hazard detection and navigation , 2013, 2013 IEEE Aerospace Conference.

[5]  Hui Lin,et al.  Crater Detection Using the Morphological Characteristics of Chang'E-1 Digital Elevation Models , 2013, IEEE Geoscience and Remote Sensing Letters.

[6]  Sven Loncaric,et al.  Method for Crater Detection From Martian Digital Topography Data Using Gradient Value/Orientation, Morphometry, Vote Analysis, Slip Tuning, and Calibration , 2010, IEEE Transactions on Geoscience and Remote Sensing.

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

[8]  Tye Brady,et al.  Hazard Detection Methods for Lunar Landing , 2009, 2009 IEEE Aerospace conference.

[9]  Larry H. Matthies,et al.  Stereo vision and shadow analysis for landing hazard detection , 2008, 2008 IEEE International Conference on Robotics and Automation.

[10]  Kevin P. Murphy,et al.  Machine learning - a probabilistic perspective , 2012, Adaptive computation and machine learning series.

[11]  Andrew E. Johnson,et al.  Helicopter Flight Testing of a Real-Time Hazard Detection System for Safe Lunar Landing , 2013 .

[12]  N. Izenberg,et al.  The landing of the NEAR-Shoemaker spacecraft on asteroid 433 Eros , 2001, Nature.

[13]  C.D. Epp,et al.  Autonomous Precision Landing and Hazard Detection and Avoidance Technology (ALHAT) , 2007, 2007 IEEE Aerospace Conference.

[14]  W. Mahmood,et al.  Vision based Hazard detection and obstacle Avoidance for planetary landing , 2009, 2009 2nd International Workshop on Nonlinear Dynamics and Synchronization.

[15]  Antonio Criminisi,et al.  Decision Forests for Computer Vision and Medical Image Analysis , 2013, Advances in Computer Vision and Pattern Recognition.

[16]  Simon Lacroix,et al.  Visual Landmark Constellation matching for spacecraft pinpoint landing , 2009 .

[17]  Hutao Cui,et al.  Vision-aided inertial navigation for pinpoint planetary landing , 2007 .

[18]  Cui Pingyuan,et al.  Landmark tracking based autonomous navigation schemes for landing spacecraft on asteroids , 2008 .

[19]  Tele Tan,et al.  Automated crater detection and counting using the hough transform , 2014, 2014 IEEE International Conference on Image Processing (ICIP).

[20]  A. Huertas,et al.  Analysis of On-Board Hazard Detection and Avoidance for Safe Lunar Landing , 2008, 2008 IEEE Aerospace Conference.

[21]  J. Kawaguchi,et al.  Guidance and Navigation of Hayabusa Spacecraft for Asteroid Exploration and Sample Return Mission , 2006, 2006 SICE-ICASE International Joint Conference.

[22]  Li Shuang,et al.  Autonomous navigation and guidance scheme for precise and safe planetary landing , 2009 .

[23]  Zhang Zexu,et al.  A reliable algorithm of rock detection and avoidance for safe spacecraft landing , 2010, 2010 3rd International Symposium on Systems and Control in Aeronautics and Astronautics.

[24]  Clark F. Olson,et al.  Optical landmark detection for spacecraft navigation , 2003 .

[25]  Hutao Cui,et al.  Robust hazard matching approach for visual navigation application in planetary landing , 2015 .