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SYSTEM AND METHOD FOR AUTONOMOUS NAVIGATION OF UNMANNED AERIAL VEHICLE (UAV) IN GPS DENIED ENVIRONMENT
SYSTEM AND METHOD FOR AUTONOMOUS NAVIGATION OF UNMANNED AERIAL VEHICLE (UAV) IN GPS DENIED ENVIRONMENT
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机译：在GPS拒绝环境中无人机（UAV）的自主导航系统和方法
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摘要
An embodiment of the present disclosure provides a system and a method for autonomous navigation of an unmanned aerial vehicle (UAV) in a GPS denied environment. The method facilitates to enable configuration of at least one inference time constraint and a minimum desired accuracy, and compress a neural network model that has been previously trained using an existing dataset. The neural network model is compressed by generating scores for each artifact of the neural network model containing non-zero weights. Weights of a lowest ranked artifact are stored in a dictionary. Weights of said lowest ranked artifact are set to zero to effect a compressed neural network model. Neural network model is retrained for a plurality of iterations such that accuracy of the compressed neural network model is checked at each iteration, and the steps of generating scores and storing weight are repeated if the minimum desired accuracy is not violated.
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