BIO-ROBOT

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Motion trajectory prediction based on a CNN-LSTM sequential model被引量：37
《Science China(Information Sciences)》2020年第11期233-253,共21页Guo XIE Anqi SHANGGUAN Rong FEI Wenjiang JI Weigang MA Xinhong HEI 
supported by National Key R&D Program of China(Grant No.2018YFB1201500);National Natural Science Foundation of China(Grant Nos.61873201,61773313,U1734210);Key Research and Development Program of Shaanxi Province(Grant No.2018GY-139);Natural Science Foundation of Shaanxi Provincial Department of Education(Grant No.19JS051);CERNET Innovation Project(Grant No.NGII20161201);Scientific and Technological Planning Project of Beilin District of Xi’an(Grant No.GX1819)。
Accurate monitoring the surrounding environment is an important research direction in the field of unmanned systems such as bio-robotics,and has attracted much research attention in recent years.The trajectories of su...
关键词：bio-robots unmanned system outlier detection hyper-parameters trajectory prediction 
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