Event-based Motion Estimation

Event-based Motion Estimation is a computer vision technique that leverages event cameras to efficiently estimate motion by capturing dynamic changes in a scene. Unlike traditional cameras with fixed frame rates, event cameras asynchronously detect changes in pixel brightness, generating a precise stream of timestamped events. The goal of this technology is to extract motion information in real-time and with low latency, enhancing perception accuracy in dynamic environments. Its application value lies in effectively handling high-speed motion and high dynamic range scenarios, making it widely applicable in areas such as robot navigation, autonomous driving, and augmented reality.