A New Experimental Facility for Testing of Vision-Based GNC Algorithms for Planetary Landing
暂无分享,去创建一个
[1] Davide Scaramuzza,et al. SVO: Fast semi-direct monocular visual odometry , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[2] H. B. Kekre,et al. Image Segmentation using Extended Edge Operator for Mammographic Images , 2010 .
[3] Christian Lebiere,et al. The Cascade-Correlation Learning Architecture , 1989, NIPS.
[4] Behcet Acikmese,et al. Convex programming approach to powered descent guidance for mars landing , 2007 .
[5] Michèle Lavagna,et al. A multilayer perceptron hazard detector for vision-based autonomous planetary landing , 2016 .
[6] Ashutosh Saxena,et al. Learning Depth from Single Monocular Images , 2005, NIPS.
[7] Wolfram Burgard,et al. G2o: A general framework for graph optimization , 2011, 2011 IEEE International Conference on Robotics and Automation.
[8] F. Fraundorfer,et al. Visual Odometry : Part II: Matching, Robustness, Optimization, and Applications , 2012, IEEE Robotics & Automation Magazine.
[9] T. A. Zang,et al. Spectral methods for fluid dynamics , 1987 .
[10] Wen-Jong Shyong,et al. Lunar Terrain Surface Modeling for the ALHAT Program , 2008, 2008 IEEE Aerospace Conference.
[11] J.-Y. Bouguet,et al. Pyramidal implementation of the lucas kanade feature tracker , 1999 .
[12] Pierre Blanc-Paques,et al. Maturing Vision Based Navigation Solutions to Space Exploration , 2010 .
[13] Donald S. Burnett,et al. Lunar surface processes , 1992 .
[14] R. Hartley. Triangulation, Computer Vision and Image Understanding , 1997 .
[15] C.D. Epp,et al. Autonomous Precision Landing and Hazard Detection and Avoidance Technology (ALHAT) , 2007, 2007 IEEE Aerospace Conference.