Jia-Xin Pang

Adversarial multimodal trajectory prediction with hierarchical scene fusion

This study proposes a lightweight adversarial framework for multimodal trajectory prediction, integrating spatio-temporal encoding of agents and lanes, hierarchical attention-based scene fusion, a Bézier-parameterized generator, and a context-aware discriminator, ensuring trajectory realism with only 1.9M parameters.