FLARE: Learning Future-Aware Latent Representations from Vision-Language Models for Autonomous Driving

Chengen Xie, Chonghao Sima, Tianyu Li +4

While Vision-Language Models (VLMs) offer rich world knowledge for end-to-end autonomous driving, current approaches heavily rely on labor-intensive language annotations (e.g., VQA…