Learning 6D Object Pose Estimation With Event Cameras Using Synthetic Data and Domain Randomization
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