波の上を見る：海上データ収集のためのモジュール型センシングフレームワーク
Seeing above the waves: A modular sensing framework for data acquisition at sea
船舶の自律化に向け、多様なセンサ（RADAR、LiDAR、IMU、GNSS、AIS、RGB/LWIRカメラ、気象センサ）を統合したモジュール型センサプラットフォームとROS2ベースのデータ管理ソフトウェアを設計し、再現性のある海上データ収集を可能にする。
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: Jonathan E. Schmidt, Julius Wirbel, P. Nicholas Hansen, Morgan Louédec, Christian L. H. Westerdahl, Dimitrios Dagdilelis, Roberto Galeazzi
分類: cs.RO
原文アブストラクト
Advancing autonomy for surface vessels requires systematic evaluation of their sensing and perception subsystems. Yet, maritime environments impose unique challenges: sensor installation is constrained by vessel layout, environmental conditions such as fog or sea clutter are difficult to reproduce, and long-duration missions complicate data collection. This work addresses the question: How can we design a modular and reproducible sensor platform for maritime autonomy? We present a comprehensive design blueprint that incorporates diverse modalities - RADAR, LiDAR, IMU, GNSS, AIS, RGB and LWIR cameras, and weather sensors - to enhance environmental awareness and vessel proprioception. Supported by a dedicated ROS2-based software framework for data management, our modular platform enables long-term data collection, hardware-in-the-loop testing, and integration with existing sensors and algorithms. By unifying hardware design and data capture methodology, the platform enhances reproducibility and comparability across vessels and research projects. The proposed framework bridges engineering implementation and research methodology, providing the foundation for standardized, verifiable datasets essential to advancing situational awareness and autonomous maritime navigation.
