Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning

9 Mar 2018Michael GoldhammerSebastian KöhlerStefan ZernetschKonrad DollBernhard SickKlaus Dietmayer

Avoiding collisions with vulnerable road users (VRUs) using sensor-based early recognition of critical situations is one of the manifold opportunities provided by the current development in the field of intelligent vehicles. As especially pedestrians and cyclists are very agile and have a variety of movement options, modeling their behavior in traffic scenes is a challenging task... (read more)

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