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Beyond Imitation: Constraint-Aware Trajectory Generation with Flow Matching For End-to-End Autonomous Driving

arXiv — cs.CV•Friday, October 31, 2025 at 4:00:00 AM
PositiveArtificial Intelligence
A new study introduces a method for generating diverse and safe driving trajectories for autonomous vehicles, addressing the limitations of current imitation learning techniques. This approach, which incorporates safety and physical constraints directly into the generation process, could significantly enhance the reliability and effectiveness of autonomous driving systems. As the demand for safer and more efficient self-driving technology grows, this research represents a promising step forward in ensuring that autonomous vehicles can navigate complex environments safely.
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