Due to their significance in real-world deployment, distributional shifts have gained plenty of attention in recent years. This year at NeurlPS, we have a new challenge, the Shifts challenge, aiming at investigating robustness and uncertainty quality on the distributional shifted datasets. This blog only targets the Vehicle Motion Prediction task in this challenge, and is a complement to the tutorial on the official Github page, with additional explanations on the datasets, training, and evaluation process.