Feature Relevance Estimation for Learning Pedestrian Behavior at Crosswalks

Abstract

For future automated driving functions it is necessary to be able to reason about the typical behavior, intentions and future movements of vulnerable road users in urban traffic scenarios. It is crucial to have this... [ view full abstract ]

Authors

Session

We-B7 » Data Mining and Data Analysis IV (13:40 - Wednesday, 16th September, La Palma)