In this paper we present a complete framework for Underwater SLAM utilizing a single inexpensive sensor. Over the recent years, imaging technology of action cameras is producing stunning results even under the challenging conditions of the underwater domain. The GoPro 9 camera provides high definition video in synchronization with an Inertial Measurement Unit (IMU) data stream encoded in a single mp4 file. The visual inertial SLAM framework is augmented to adjust the map after each loop closure. Data collected at an artificial wreck of the coast of South Carolina and in caverns and caves in Florida demonstrate the robustness of the proposed approach in a variety of conditions.
翻译:在本文中,我们提出了一个水下SLAM使用单一廉价传感器的完整框架。近年来,行动摄影机的成像技术即使在水下领域具有挑战性的条件下也正在产生惊人的结果。GoPro 9相机提供高定义视频,与一个单立方位4文件编码的惰性测量股数据流同步。视觉惯性SLAM框架得到扩充,以在每次环封闭后调整地图。在南卡罗来纳海岸和佛罗里达洞穴和洞穴的人工残骸中收集的数据表明,所提议的方法在不同条件下是稳健的。