K-Gen: A Multimodal Language-Conditioned Approach for Interpretable Keypoint-Guided Trajectory Generation

Researchers propose K-Gen, a new multimodal AI framework that uses Large Language Models to generate realistic driving trajectories for autonomous vehicle simulation. The system combines visual map data with text descriptions to create interpretable keypoints that guide trajectory generation, outperforming existing baselines on major datasets.