EMMA model architecture features

The architectural features of the EMMA model are mainly reflected in the following aspects: multimodal input processing, end-to-end training, natural language output, chained reasoning, self-supervised learning, and computational efficiency. These features make EMMA innovative and practical in the field of autonomous driving. Although there are some limitations, its research results provide a new direction for the development of future autonomous driving technology.