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ProspectNet: Weighted Conditional Attention for Future Interaction Modeling in Behavior Prediction
In this work, we formulate the end-to-end joint prediction problem as a sequential learning process of marginal learning and joint learning of vehicle behaviors.
Radar Camera Fusion via Representation Learning in Autonomous Driving
Radars and cameras are mature, cost-effective, and robust sensors and have been widely used in the perception stack of mass-produced autonomous driving systems.
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