Wang Zhonglin, Yin Baolin. Prototype selection of customized development process based on open source software[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(12): 1490-1494. (in Chinese)
Citation: Chen Lei, Chen Zongji. Vision-based runway obstacle detection scheme for unmanned combat aerial vehicles[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(11): 1313-1316. (in Chinese)

Vision-based runway obstacle detection scheme for unmanned combat aerial vehicles

  • Received Date: 11 Dec 2006
  • Publish Date: 30 Nov 2007
  • A computer-vision-based runway obstacle detection scheme for an unmanned combat air vehicle (UCAV) was presented. The scheme combined the advantages of the feature-based and the flow-based obstacle detection algorithms. Instead of using gradient-based method, a multi-scale optical flow estimation method based on feature point matching was adopted, which make it possible to calculate sparse optical flow field directly from image sequences. Under some relative hypothesis, obstacle on the runway could be detected even with certain navigation errors. The detection sensitivity and the stage applicable for obstacle detection were also discussed. The obstacle detection scheme can run properly on the real-time simulation system for autonomous landing of the UCAV.

     

  • [1] Sridhar B, Phatak A V. Analysis of image-based navigation system for rotorcraft low-altitude flight[J]. IEEE Transactions on Systems, Man and Cybernetics, 1992, 22(2): 290-299 [2] Boon K Q, Javier I G, Khiang W L. Feature detection for stereo-vision-based unmanned navigation IEEE Conference on Cybernetics and Intelligent Systems. Singapore: Institute of Electrical and Electronics Engineers Inc, 2004: 141-146 [3] Sull S, Sridhar B. Runway obstacle detection by controlled spatiotemporal image flow disparity[J]. IEEE Transactions on Robotics and Automation, 1999, 15(3): 537-547 [4] Gandhi T, Devadiga S, Kasturi R, et al. Detection of obstacles on runways using ego-motion compensation and tracking of significant features[J]. Image and Vision Computing, 2000, 18(10): 805-815 [5] 陈磊,陈宗基.基于视觉的无人作战飞机自主着陆导航方案[J].北京航空航天大学学报, 2007, 33(2): 159-163 Chen Lei, Chen Zongji. Vision-based autonomous landing integrated navigation scheme of unmanned combat aerial vehicles[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(2): 159-163 (in Chinese) [6] Sonka M, Hlavac V, Boyle R. Image processing, analysis, and machine vision[M]. 2nd ed. : Brooks/Cole Publishing Company, 1999 [7] 陈磊,陈宗基.基于视觉的无人作战飞机自主着陆仿真系统研究[J].系统仿真学报, 2006, 18(7): 1815-1819 Chen Lei, Chen Zongji. Study on simulation system for vision-based autonomous landing of unmanned combat aerial vehicles[J]. Journal of System Simulation, 2006, 18(7): 1815-1819(in Chinese)
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