MCTrack is a new method for tracking multiple 3D objects, particularly designed for autonomous driving. The authors claim that MCTrack outperforms existing methods across popular datasets like KITTI, nuScenes, and Waymo. The paper also standardizes the format of perception results across various datasets, making it easier for researchers to focus on algorithm development. Additionally, the paper proposes novel evaluation metrics that assess the motion information output by tracking systems, such as velocity and acceleration, which is crucial for downstream tasks like trajectory prediction and planning.