Abstract: Learning to understand dynamic 3D scenes from imagery is crucial for applications ranging from robotics to scene reconstruction. Yet, unlike other problems where large-scale supervised ...

Abstract: False negatives (FN) in 3D object detection, which occur when small, distant, or hidden objects are missed, pose significant safety risks in autonomous driving systems. Recent multi-modal ...

The speaker’s decision to hold the House in an indefinite hiatus during the shutdown is his latest move to diminish the role of the legislative branch — and his own post. With the House on hiatus, ...

4D millimeter-wave radar has emerged as a promising sensor for autonomous driving, but effective 3D object detection from both 4D radar and monocular images remains a challenge. Existing fusion ...

Miniaturized electronics and intricate objects require a certain finesse. Researchers have looked into the development of a machine capable of these fine movements, while identifying and categorizing ...