Motion Segmentation for Neuromorphic Aerial Surveillance

Motion Segmentation for Neuromorphic Aerial Surveillance

This paper addresses these challenges by introducing a novel motion segmentation method that leverages self-supervised vision transformers on both event data and optical flow information. Our approach eliminates the need for human annotations and reduces dependency on scene-specific parameters.

CoSEC: A Coaxial Stereo Event Camera Dataset for Autonomous Driving

CoSEC: A Coaxial Stereo Event Camera Dataset for Autonomous Driving

This paper introduces hybrid coaxial event-frame devices to build the multimodal system, and propose a coaxial stereo event camera (CoSEC) dataset for autonomous driving. As for the multimodal system, it first utilizes the microcontroller to achieve time synchronization, and then spatially calibrate different sensors, where they perform intra- and inter-calibration of stereo coaxial devices.