Unleashing the Temporal Potential of Stereo Event Cameras for Continuous-Time 3D Object Detection

We present a continuous-time 3D object detection framework that relies solely on stereo event cameras, leveraging dual filters to extract semantic and geometric cues and an object-centric regression strategy to achieve robust performance in highly dynamic environments.