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

机译:双成像声纳的水下机器人探测与识别:流域试验

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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'.
机译:对于水下搜索任务,声纳成像是获取水下环境视觉数据的非常有用的设备。通常,成像声纳的搜索范围取决于声音的频率。高频成像声纳适合在5m以内的区域搜索,低频可以搜索5m至100m的区域。在本文中,我们介绍了使用双成像声纳进行自主水下机器人探测的地标识别实验结果。水下机器人自主探索并使用惯性传感器数据估算机器人位置。人工地标是通过双成像声纳设计和检测的。如果识别出地标,则将其映射到估计的机器人地图。为了验证该方法的适用性,我们使用水下机器人“ yShark”在水池中进行了实验。

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