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 ...

Legislation in two of the nation's most populous states could force 3D printers to come equipped with technology blocking them from making guns.

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 ...