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AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving
Practical autonomous driving requires models that generalize by reasoning through spatial-temporal possibilities to exclude unsafe outcomes. While state-of-the-art (SOTA) methods use parallel planning architectures, they fail to explicitly couple speed decisions with agent behavior along the driving
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