Furthermore, we introduce a task-oriented object pose estimation approach based on the fiducial marker and ontology technology. In particular, a property-driven target object inference and pose ...

Object detection on point clouds is widely used in autonomous driving technology. Recent studies have demonstrated that good feature representation is the key to 3-D object detection, especially for ...

In this paper, we propose a novel pipeline to estimate 6D object pose from RGB-D images of known objects present in complex scenes. The pipeline directly operates on raw point clouds extracted from ...

Someday, we won’t even look at the code that our AI agent produces. We’ll take it for granted, just as we do the assembly ...

We introduce, what is to the best of our knowledge, the first approach for systematically testing Object-Relational Mapping (ORM) systems. Our approach leverages differential testing to establish a ...

The hybrid soft open point (HSOP), formed by the parallel combination of the normally open point (NOP) and the soft open point (SOP), combines the advantages of flexibility and high cost-efficiency.

Oriented object detection has attained remarkable progress in addressing the challenges associated with rotating invariant feature extraction. However, most existing object detection most existing ...