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DYNAMIC KEY-FRAME BASED AIRBORNE SCENE MATCHING VISION NAVIGATION

机译:基于动态关键帧的机载场景匹配视觉导航

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摘要

In order to develop a backup navigation scheme for allowing temporally GPS faults or degradations, this paper proposes a dynamic key-frame-based natural-landmark scene matching visual navigation method for UAV. Firstly, this method could autonomously describe and check featured natural landmarks by analyzing image sequence from on-board camera. Secondly, After abstraction of key-frames including featured natural landmark, UA V will be located by the means of NLSM (Natural-Landmark Scene Matching) which based on dynamic key-frame. Thirdly, this navigation scheme adopt inter-frame scene matching algorithm in order to improving the navigation performance of accuracy, reliability and runtime. Experiments show that the vision navigation scheme proposed fits the requirements of navigation in complex and unknown environment for UAV.
机译:为了开发一种允许暂时出现GPS故障或降级的备用导航方案,本文提出了一种基于动态关键帧的自然地标场景匹配视觉导航无人机方法。首先,该方法可以通过分析车载摄像头的图像序列来自主地描述和检查自然界标。其次,在对包括特色自然地标的关键帧进行抽象之后,将通过基于动态关键帧的NLSM(自然地标场景匹配)来定位UAV。第三,该导航方案采用帧间场景匹配算法,以提高导航性能的准确性,可靠性和运行时间。实验表明,所提出的视觉导航方案符合无人机在复杂未知环境中的导航要求。

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