Lateral motion prediction of on-road preceding vehicles: a data-driven approach

HIGHLIGHTS

• who: Chen Wang et al. from the University, Blacksburg, VA, USA have published the article: Lateral Motion Prediction of On-Road Preceding Vehicles: A Data-Driven Approach, in the Journal: (JOURNAL) of April/11,/2013
• what: To overcome the limitations of making an immediate prediction in this work the authors propose a two-stage data-driven approach: classifying driving patterns of on-road surrounding vehicles using the Gaussian mixture models (GMM); and predicting vehicles' short-term lateral motions (i.e. left/right turn and left/right lane change) based on real-world vehicle mobility data . . .
  

   

  

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