Yujian Wang

GDP: Enhancing End-To-End Autonomous Driving with Goal-Driven Planner

End-to-end (E2E) autonomous driving has emerged as a promising paradigm with the pervasive power of model architectures and the availability of large-scale driving datasets. Despite tremendous efforts in recent research, most E2E driving frameworks rely on rather general driving commands, such as "G…