2022/07/18 by Bibin Wilson, Wilson, Bibin, Anand Singh +3
Engineering · Environmental Science · #Artificial intelligence #Bathymetry #Computer science #Data collection #Engineering #Environmental science #FOS: Computer and information sciences #FOS: Electrical engineering #Geology #Marine engineering #Maritime Navigation and Safety #Oceanography #Remote sensing #Robotics (cs.RO) #Sonar #Systems and Control (eess.SY) #Underwater Vehicles and Communication Systems #Unmanned surface vehicle #Water Quality Monitoring Technologies #Waves and shallow water #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2207.08492
openalex publication_date 2022/07/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.