MOJITO: Modal Joint Learning for Unified End-to-End Autonomous Driving
MOJITO is proposed, a unified sensor-to-action framework for end-to-end autonomous driving built on modal joint learning that performs block-wise Modal Joint Attention that simultaneously updates action, image, and LiDAR features, allowing the planner to directly access multi-modal features during action generation.