Hybrid learning-optimization framework for highway trajectory planning that reports over 97% scenario success rate and 54 ms average cycle time on the HighD dataset while enforcing formal safety via MIQP.
Interaction-aware motion planning for autonomous vehicles with multi-modal obstacle uncertainty predic- tions,
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Reliable and Real-Time Highway Trajectory Planning via Hybrid Learning-Optimization Frameworks
Hybrid learning-optimization framework for highway trajectory planning that reports over 97% scenario success rate and 54 ms average cycle time on the HighD dataset while enforcing formal safety via MIQP.