Zhenlu Jin

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—Matching-area suitability analysis in vision navigation system for unmanned aerial vehicle (UAV) is a very worthy but full of challenges research area. In this paper, a multi-feature fusion based visual saliency model (MFF-VSM) was established by introducing invariant features of speeded-up robust features (SURF) directly into the visual saliency model,(More)
—A scene matching based visual SLAM (simultaneous localization and mapping) navigation algorithm is proposed for SUAV (small unmanned aerial vehicle) which described by EKF (Extended Kalman Filtering). Firstly, a scene matching method with weighted Hausdorff distance was introduced for waypoints accurate abstraction. On this foundation, the SUAV's nonlinear(More)
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