Tracking 3D objects accurately and consistently is crucial for autonomous vehicles, enabling more reliable downstream tasks such as trajectory prediction and motion planning. Based on the substantial ...

Abstract: Heavily relying on 3D annotations limits the real-world application of 3D object detection. In this letter, we propose a method that does not demand any 3D annotation, while being able to ...

Abstract: 3D object detection from images, one of the fundamental and challenging problems in autonomous driving, has received increasing attention from both industry and academia in recent years.

Variants: Each model includes all high-resolution variants, resulting in a total of 1,659,097 3D instances. Specialized Subsets: For the rigged and animated categories of models, we further obtain the ...