Task-Decomposed Language Supervision for End-to-End Autonomous Driving
End-to-end (E2E) autonomous driving integrates perception, prediction, and planning, yet often lacks explicit supervision for high-level driving semantics. We propose Task-Decomposed Language Supervision (TaLS), a training-only framework that organizes DriveLM question–answer annotations into four sequential stages: Ob...