Extracting sharp shapes from fast motion using neuromorphic cameras

Motion blur and harsh lighting kill traditional cameras on mobile robots, but event cameras sense change at microsecond resolution. This work pairs events with frames to extract clean binary silhouettes of objects like text and road signs in real time on edge devices. The approach handles extreme frame rates and severe illumination changes where standard binarization fails, making perception viable for resource-constrained platforms like drones and underwater vehicles.