Grand Challenge
Track overview
This track is part of the DriveX Grand Challenge 2026 within the broader DriveX initiative led by UCLA and developed with partner institutions and collaborators.
A challenge focused on heterogeneous driving datasets and cross-domain learning to improve robustness, transferability, and generalization.
Resources and timelines will be linked here when available.