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Motion planning

Recent ATG R&D publications

DSDNet: Deep Structured self-Driving Network

Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction

Learning Lane Graph Representations for Motion Forecasting

Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations

Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles

End-to-End Interpretable Neural Motion Planner

R&D Home page