Context-based path prediction for targets with switching dynamics

HIGHLIGHTS

  • who: Julian F. P. Kooij from the Delft University of Technology, Mekelweg, CD Delft, The Netherlands have published the Article: Context-Based Path Prediction for Targets with Switching Dynamics, in the Journal: (JOURNAL)
  • what: The authors propose to extract various types of cues with computer vision to provide context on the target`s behavior and incorporate these in a Dynamic Bayesian Network (DBN). To improve path prediction of objects with switching dynamics, the authors propose to exploit context cues that can be extracted from sensor data. The authors focus on applications in the Intelligent Vehicle . . .

     

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