Accurate and cost effective mapping of water bodies has an enormous significance for environmental understanding and navigation. However, the quantity and quality of information we acquire from such environmental features is limited by various factors, including cost, time, security, and the capabilities of existing data collection techniques. Measurement of water depth is an important part of such mapping, particularly in shallow locations that could provide navigational risk or have important ecological functions. Erosion and deposition at these locations, for example, due to storms and erosion, can cause rapid changes that require repeated measurements. In this paper, we describe a low-cost, resilient, unmanned autonomous surface vehicle for bathymetry data collection using side-scan sonar. We discuss the adaptation of equipment and sensors for the collection of navigation, control, and bathymetry data and also give an overview of the vehicle setup. This autonomous surface vehicle has been used to collect bathymetry from the Powai Lake in Mumbai, India.
翻译:对水体进行准确和具有成本效益的测绘对于环境理解和航行具有重大意义,然而,我们从这种环境特征中获得的信息的数量和质量受到各种因素的限制,包括成本、时间、安全和现有数据收集技术的能力。测量水深是这种测绘的重要部分,特别是在可能提供航行风险或具有重要生态功能的浅水地点。在这些地点,例如由于风暴和侵蚀,侵蚀和沉降可导致迅速变化,需要反复测量。本文描述了利用侧扫声纳进行测深数据收集的低成本、复原力强、无人驾驶自主的地面飞行器。我们讨论了如何调整设备和传感器以收集导航、控制和测深数据,并概述了车辆的设置。这一自主地面飞行器被用于从印度孟买的波瓦湖采集测深数据。