AINeutralarXiv – CS AI · 9h ago6/10
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Lane Change Trajectory Planning for Personalized Driving Comfort and Mobility Efficiency
Researchers propose a neural network-based lane-change trajectory planner that uses dual-head architecture to balance safety guarantees with personalized driving preferences. The system adaptively switches between a baseline safe mode and a driver-specific comfort/efficiency mode based on contextual driving conditions, enabling autonomous vehicles to optimize maneuvers while maintaining feasibility across diverse scenarios.