Lorenzo Seidenari
Lorenzo Seidenari
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Autonomous Driving
Vehicle Trajectories from Unlabeled Data through Iterative Plane Registration
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction
Multiple Trajectory Prediction of Moving Agents with Memory Augmented Networks
Pedestrians and drivers are expected to safely navigate complex urban environments along with several non cooperating agents. Autonomous vehicles will soon replicate this capability. Each agent acquires a representation of the world from an …
IMRA-SD
Deep Learning for Multiple Trajectory Prediction.
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