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Sparse Planner: A Hybrid Planner for Efficient Sampling via a Conditional Variational Autoencoder
Trajectory planning is a core component of autonomous driving systems, where real-time performance and solution quality directly affect safety and reliability. Sample-Based Motion Planning (SBMP) is widely adopted for its ability to approximate near-optimal solutions through parameter space sampling
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