Stereo based obstacle detection for an unmanned air vehicle

被引:31
作者
Byrne, Jeffrey [1 ]
Cosgrove, Martin [1 ]
Mehra, Raman [1 ]
机构
[1] Sci Syst Co Inc, 500 W Cummings Pk,Suite 3000, Woburn, MA 01801 USA
来源
2006 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-10 | 2006年
关键词
D O I
10.1109/ROBOT.2006.1642130
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents the Visual Threat Awareness (VISTA) system for real time collision obstacle detection for an unmanned air vehicle (UAV). Computational stereo performance has progressed such that several commercial or open source implementations are available which operate at frame rate, but suffer from well known correspondence errors. We show that introducing a global segmentation step after commodity stereo can increase robustness and leverage existing stereo software. The global segmentation step is based on a graph structure appropriate for collision detection, human vision inspired foveation, perceptual organization and graph partitioning using the minimum s-t graph cut. This system has been prototyped using the Sarnoff Acadia I vision processor to enable processing of 640x480 resolution imagery at 5-10Hz operation on embedded avionics. We describe system theory, demonstrate segmentation results on scenes of increasing complexity, and show flight experiment results on Georgia Tech's GT-Max autonomous helicopter against real collision obstacles.
引用
收藏
页码:2830 / +
页数:2
相关论文
共 32 条
[1]  
[Anonymous], 1999, COMPUTER VISION, DOI DOI 10.1109/ICCV.1999.791202
[2]  
[Anonymous], IEEE T AEROSPACE ELE
[3]   ERROR ANALYSIS IN STEREO DETERMINATION OF 3-D POINT POSITIONS [J].
BLOSTEIN, SD ;
HUANG, TS .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1987, 9 (06) :752-765
[4]   Perceptual organization in computer vision: Status, challenges, and potential [J].
Boyer, KL ;
Sarkar, S .
COMPUTER VISION AND IMAGE UNDERSTANDING, 1999, 76 (01) :1-5
[5]  
Boykov Y, 2001, LECT NOTES COMPUT SC, V2134, P359
[6]   Advances in computational stereo [J].
Brown, MZ ;
Burschka, D ;
Hager, GD .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2003, 25 (08) :993-1008
[7]   A k-partition, graph theoretic approach to perceptual organization [J].
Byrne, J ;
Gandhe, A ;
Prasanth, RK ;
Ravichandan, B ;
Huff, M ;
Mehra, RK ;
Sarkar, S .
INTERNATIONAL CONFERENCE ON INTEGRATION OF KNOWLEDGE INTENSIVE MULTI-AGENT SYSTEMS: KIMAS'03: MODELING, EXPLORATION, AND ENGINEERING, 2003, :336-342
[8]  
BYRNE J, 2005, SSC051291211 DARPA
[9]  
CAMUS T, 1999, VIDERE J COMPUTER VI, V1
[10]   Image divergence and deformation from closed curves [J].
Cipolla, R ;
Blake, A .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 1997, 16 (01) :77-96