SparScene: Efficient Traffic Scene Representation via Sparse Graph Learning for Large-Scale Trajectory Generation

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.

• •Focus on efficient traffic scene representation.
• •Utilizes sparse graph learning.
• •Aims for large-scale trajectory generation.