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3D Reconstruction Using Two Sonar Devices in a Monte-Carlo Approach for AUV Application

机译:3D使用两个SONAR设备在AUV应用中的Monte-Carlo方法中的重建

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摘要

We propose a sequential method to extract 3-dimensional information for mapping by using sensor fusion of two sonar devices. The 3D reconstruction using sonar images from forward-looking multibeam sonar (FLMS) is an ill-posed problem due to the loss of elevation angle; thus we used an additional sonar and its complementary information. Our approach is to utilize geometric constraints between the installation of two sonar devices and complementary characteristics such as a different angle of the acoustic beams and data acquisition method. The fusion process proceeds in three stages. The first stage is to build a likelihood map using geometric constraints of the installation between two sonar devices. The second stage is to calculate the feasible elevation angle of the FLMS. The elevation angle of FLMS is limited by its vertical beam spreading angle, which can be represented by particles. The third stage is Monte-Carlo experiment using the generated particles by computing the weight, and correct the data of FLMS. To verify the proposed method, we applied the proposed method in simulations and experiments in engineering basin with an AUV.
机译:我们提出了一种顺序方法,以利用两个声纳设备的传感器融合来提取用于映射的三维信息。由于升高角度的损失,使用转发的多沟声纳(FLM)的Sonar图像的3D重建是一种不良问题;因此,我们使用了额外的声纳及其互补信息。我们的方法是利用两个声纳设备的安装和诸如声波和数据采集方法的不同角度的互补特性之间的几何约束。融合过程在三个阶段进行。第一阶段是使用两个声纳设备之间的安装的几何约束来构建可能性映射。第二阶段是计算FLM的可行仰角。 FLM的升高角度受其垂直光束扩展角的限制,其可以由颗粒表示。第三阶段是Monte-Carlo通过计算重量来使用产生的粒子进行实验,并校正FLM的数据。为了验证所提出的方法,我们用AUV应用了工程盆中的模拟和实验中的提出方法。

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