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06/02/2022
StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving
We introduce a motion forecasting (behavior prediction) method that meet...
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05/08/2020
Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Deep neural networks are a key component of behavior prediction and moti...
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10/12/2019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Predicting human behavior is a difficult and crucial task required for m...
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12/07/2018
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
Our goal is to train a policy for autonomous driving via imitation learn...
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05/24/2014
