Underwater robot exploration and identification using dual imaging sonar : Basin test

Yeongjun Lee, Jinwoo Choi, Jongdae Jung, Tae-Jin Kim, Hyun-Taek Choi
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引用次数: 5

Abstract

For the underwater search task, imaging sonar is very useful equipment to obtain the visual data of the underwater environment. Generally, the search range of imaging sonar depends on the frequency of the sound. High-frequency imaging sonar is suitable to search near area within 5m and low-frequency is able to search the area between 5m to 100m. In this paper, we presents experimental results of landmarks identification using dual imaging sonar for the autonomous underwater robot exploration. The underwater robot explores autonomously and estimates the robot location using inertial sensor data. Artificial landmarks are designed and detected by dual imaging sonar. If the landmark is recognized, it is mapped to the estimated robot map. To verify the suitability of the proposed method, we perform an experiment in basin using the underwater robot, ‘yShark’.
水下机器人双成像声纳探测与识别:盆地试验
在水下搜索任务中,成像声纳是获取水下环境视觉数据非常有用的设备。一般来说,成像声纳的搜索范围取决于声音的频率。高频成像声纳适用于5m以内的近区域搜索,低频适用于5m ~ 100m的区域搜索。本文给出了基于双成像声纳的自主水下机器人探测目标识别实验结果。水下机器人自主探索,利用惯性传感器数据估计机器人位置。采用双成像声纳设计和检测人工地标。如果识别出地标,则将其映射到估计的机器人地图上。为了验证所提出方法的适用性,我们使用水下机器人“yShark”在盆地中进行了实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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