Deep Context Map: Agent Trajectory Prediction using Location-specific Latent Maps
IEEE Robotics and Automation Letters(2020)
摘要
In this letter, we propose a novel approach for agent motion prediction in cluttered environments. One of the main challenges in predicting agent motion is accounting for location and context-specific information. Our main contribution is the concept of learning context maps to improve the prediction task. Context maps are a set of location-specific latent maps that are trained alongside the predi...
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Intelligent vehicles,prediction methods
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