Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models
Tsun-Hsuan Wang,Alaa Maalouf,Wei Xiao,Yutong Ban,Alexander Amini,Guy Rosman,Sertac Karaman,Daniela Rus,Tsun-Hsuan Wang,Alaa Maalouf,Wei Xiao,Yutong Ban,Alexander Amini,Guy Rosman,Sertac Karaman,Daniela Rus
As autonomous driving technology matures, end-to-end methodologies have emerged as a leading strategy, promising seamless integration from perception to control via deep learning. However, existing systems grapple with challenges such as unexpected open set environments and the complexity of black-box models. At the same time, the evolution of deep learning introduces larger, multimodal foundation...