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Explicit Domain Adaptation with Loosely Coupled Samples
In this work we propose a transfer learning framework, core of which is learning an explicit mapping between domains.
Attention-based Lane Change Prediction
Lane change prediction of surrounding vehicles is a key building block of path planning.
Situation Assessment for Planning Lane Changes: Combining Recurrent Models and Prediction
One of the greatest challenges towards fully autonomous cars is the understanding of complex and dynamic scenes.
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