Pedestrian heading estimation based on spatial transformer networks and hierarchical lstm

HIGHLIGHTS

• who: Pedestrian Heading Estimation Based and collaborators from the School of Information and Communication Engineering, University of Posts and Telecommunications, China have published the paper: Pedestrian Heading Estimation Based on Spatial Transformer Networks and Hierarchical LSTM, in the Journal: (JOURNAL)
• what: The approach is specifically designed for the smartphone VOLUME 7, 2019 placed in a trouser pocket, and it may be not suitable for other positions. The authors design a hierarchical LSTM-basedSeq2Seq model to estimate the heading of the pedestrian according to the characteristics of pedestrian heading continuity. The authors propose a method for . . .
  

   

  

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