SparScene: Efficient Traffic Scene Representation via Sparse Graph Learning for Large-Scale Trajectory Generation
Published:Dec 24, 2025 12:02
•1 min read
•ArXiv
Analysis
This article introduces SparScene, a method for representing traffic scenes using sparse graph learning to generate trajectories. The focus is on efficiency for large-scale applications. The research likely explores how to model complex traffic interactions with a computationally lighter approach than dense representations.
Key Takeaways
- •Focus on efficient traffic scene representation.
- •Utilizes sparse graph learning.
- •Aims for large-scale trajectory generation.
Reference
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