Event-based cameras are increasingly utilized in various applications, owing to their high temporal resolution and low power consumption. However, a fundamental challenge arises when deploying multiple such cameras: they operate on independent time systems, leading to temporal misalignment. This misalignment can significantly degrade performance in downstream applications. Traditional solutions, which often rely on hardware-based synchronization, face limitations in compatibility and are impractical for long-distance setups. To address these challenges, we propose a novel algorithm that exploits the motion of objects in the shared field of view to achieve millisecond-level synchronization among multiple event-based cameras. Our method also concurrently estimates extrinsic parameters. We validate our approach in both simulated and real-world indoor/outdoor scenarios, demonstrating successful synchronization and accurate extrinsic parameters estimation.
@article{arxiv.2309.16990,
title = {Simultaneous Synchronization and Calibration for Wide-baseline Stereo Event Cameras},
author = {Wanli Xing and Shijie Lin and Guangze Zheng and Yanjun Du and Jia Pan},
journal= {arXiv preprint arXiv:2309.16990},
year = {2023}
}