Mosaic integrates rule-based and learned planners via arbitration graphs to set new state-of-the-art scores on nuPlan and interPlan benchmarks while cutting at-fault collisions by 30%.
GameFormer: Game-theoretic Mod- eling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving
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Mosaic: An Extensible Framework for Composing Rule-Based and Learned Motion Planners
Mosaic integrates rule-based and learned planners via arbitration graphs to set new state-of-the-art scores on nuPlan and interPlan benchmarks while cutting at-fault collisions by 30%.