首页> 外文期刊>Annals of the American Thoracic Society >Robust RGB-D Camera and IMU Fusion-based Cooperative and Relative Close-range Localization for Multiple Turtle-inspired Amphibious Spherical Robots
【24h】

Robust RGB-D Camera and IMU Fusion-based Cooperative and Relative Close-range Localization for Multiple Turtle-inspired Amphibious Spherical Robots

机译:坚固的RGB-D相机和基于IMU融合的合作和相关近距离定位,适用于多龟的两栖球形机器人

获取原文
获取原文并翻译 | 示例
           

摘要

In the narrow, submarine, unstructured environment, the present localization approaches, such as GPS measurement, dead-reckoning, acoustic positioning, artificial landmarks-based method, are hard to be used for multiple small-scale underwater robots. Therefore, this paper proposes a novel RGB-D camera and Inertial Measurement Unit (IMU) fusion-based cooperative and relative close-range localization approach for special environments, such as underwater caves. Owing to the rotation movement with zero-radius, the cooperative localization of Multiple Turtle-inspired Amphibious Spherical Robot (MTASRs) is realized. Firstly, we present an efficient Histogram of Oriented Gradient (HOG) and Color Names (CNs) fusion feature extracted from color images of TASRs. Then, by training Support Vector Machine (SVM) classifier with this fusion feature, an automatic recognition method of TASRs is developed. Secondly, RGB-D camera-based measurement model is obtained by the depth map. In order to realize the cooperative and relative close-range localization of MTASRs, the MTASRs model is established with RGB-D camera and IMU. Finally, the depth measurement in water is corrected and the efficiency of RGB-D camera for underwater application is validated. Then experiments of our proposed localization method with three robots were conducted and the results verified the feasibility of the proposed method for MTASRs.
机译:在狭窄的潜艇,非结构化环境中,本地化方法,例如GPS测量,死镜,声学定位,基于人工地标的方法,很难用于多个小型水下机器人。因此,本文提出了一种新颖的RGB-D相机和基于惯性测量单元(IMU)的基于融合的合作和相关的近距离定位方法,用于特殊环境,例如水下洞穴。由于具有零半径的旋转运动,实现了多个龟的两栖球形机器人(MTASR)的协同定位。首先,我们介绍了从TASR的彩色图像提取的面向梯度(HOG)和颜色名称(CNS)融合特征的有效直方图。然后,通过培训支持向量机(SVM)分类器具有该融合功能,开发了一种自动识别方法。其次,基于RGB-D相机的测量模型由深度图获得。为了实现MTASRS的协同和相对级别的定位,使用RGB-D相机和IMU建立MTASRS模型。最后,验证了水中的深度测量,验证了用于水下应用的RGB-D相机的效率。然后进行了我们提出的本地化方法的实验,并进行了三个机器人,结果验证了所提出的MTASR方法的可行性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号