イベント密度アライメントに基づくハードウェア不要のイベントカメラ時間同期
Hardware-Free Event Cameras Temporal Synchronization Based on Event Density Alignment
複数のイベントカメラ間の時間ずれを、イベント密度分布の不一致を最小化することで推定し、タイムスタンプを調整して同期するハードウェア不要の手法を提案した。
詳しい要約
1. どんなもの?
2. 先行研究と比べてどこがすごい?
3. 技術・手法の肝は?
4. どうやって有効だと検証した?
5. 議論はある?
6. 次に読むべき論文は?
※ AIが要旨から生成した要約です。正確性は原文をご確認ください。
著者: Wenxuan Li, Yan Dong, Shaoqiang Qiu, Bin Han
分類: cs.RO
原文アブストラクト
Event cameras are a novel type of sensor designed for capturing the dynamic changes of a scene. Due to factors such as trigger and transmission delays, a time offset exists in the data collected by multiple event cameras, leading to inaccurate information fusion. Thus, the collected data needs to be synchronized to overcome any potential time offset issue. Hardware synchronization methods require additional circuits, while certain models of event cameras (e.g., CeleX5) do not support hardware synchronization. Therefore, this paper proposes a hardware-free event camera synchronization method. This method determines differences between start times by minimizing the dissimilarity of the event density distributions of different event cameras and synchronizes the data by adjusting timestamps. The experiments demonstrate that the method's synchronization error is less than 10ms under various senses with multiple models of event cameras.
