2026
LangEditor: Natural Language-Driven 4D Editing for Improved Controllability of Dynamic Driving Scenes
ICRA 2026poster
Diverse and realistic data are essential for developing reliable autonomous driving (AD) systems, yet collecting and annotating large-scale real-world driving datasets is costly and time-consuming. Recent advances in synthetic scene generation and editing have enabled the creation of diverse driving…