2026
Learning 6D Object Pose Estimation With Event Cameras Using Synthetic Data and Domain Randomization
Oussama Abdul Hay, Xiaoqian Huang, Muhammad Ahmed Humais, Abdulla Ayyad, Randa Almadhoun, Yahya H. Zweiri
RA-L 2026
Estimating the 6D pose of rigid objects is a critical upstream task in many robotics applications. Most existing methods rely on RGB or RGB-D sensing modalities, which suffer from limitations under challenging lighting conditions and high-speed motion. In contrast, event-based cameras offer unique a