Research on Key Technologies of Data Closed-loop for Environmental Perception of Intelligent Unmanned Systems
Data closed-loop is an important foundation for intelligent unmanned systems to obtain highly reliable and high-a-daptive environment perception performance,which usually includes data collection,data preprocessing,data annotation,model training,model evaluation,model deployment,etc.With the rapid growth of multimodal sensor data,data closed-loop faces chal-lenges such as key data filtering,label-free data mining,and efficient annotation of large-scale data.Focusing on the key prob-lems in the data closed-loop,this research first introduces the methods of data filtering based on active learning,pre-training of multi-view image 3D perception model,and semi-automatic data annotation based on large model.Then,through quantitative and qualitative experiments on public datasets,it verifies the effectiveness of the methods proposed.
data closed-loopdata filteringmodel pre-trainingsemi-automatic data annotation
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