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Exploiting Roadside Sensor Data for Vehicle Manoeuvring Assistance

  • Federico Princiotto,
  • Edoardo Bonetto,
  • Guido Gavilanes,
  • Matteo Minotti,
  • Daniele Brevi,
  • Claudio Pastrone,
  • Fabrizio Gatti,
  • Ezio Chiocchetti

摘要

This paper introduces a novel approach for tracking and predicting the movements of vehicles at an intersection using only roadside sensor data. The prediction of the vehicles’ movements is used to estimate their manoeuvres and to assist other vehicles, that are approaching the intersection, by suggesting suitable manoeuvres to follow. The solution introduced in this paper was tested in a real road intersection with everyday traffic and results showed a limited error that is acceptable for the goal of this system which is to predict the vehicles’ manoeuvres.