Stereo Event

Stereo event-based vision focuses on leveraging the high temporal resolution and dynamic range of event cameras to perform 3D scene reconstruction and motion estimation. Current research emphasizes developing deep learning models, often incorporating motion information and left-right consistency constraints, to improve accuracy in disparity estimation and optical flow calculation from asynchronous event streams. These advancements are driving progress in applications such as robot vision, autonomous navigation, and motion deblurring, particularly in challenging conditions like low light or high-speed motion where traditional cameras struggle. The integration of event data with inertial measurements further enhances robustness and accuracy in real-time applications.