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3D indoor modeling using a hand-held embedded system with multiple laser range scanners

机译:3D室内建模使用带有多个激光范围扫描仪的手持式嵌入式系统

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Accurate three-dimensional perception is a key technology for many engineering applications, including mobile mapping, obstacle detection and virtual reality. In this article, we present a hand-held embedded system designed for constructing 3D representation of structured indoor environments. Different from traditional vehicle-borne mobile mapping methods, the system presented here is capable of efficiently acquiring 3D data while an operator carrying the device traverses through the site. It consists of a simultaneous localization and mapping(SLAM) module, a 3D attitude estimate module and a point cloud processing module. The SLAM is based on a scan matching approach using a modern LIDAR system, and the 3D attitude estimate is generated by a navigation filter using inertial sensors. The hardware comprises three 2D time-flight laser range finders and an inertial measurement unit(IMU). All the sensors are rigidly mounted on a body frame. The algorithms are developed on the frame of robot operating system(ROS). The 3D model is constructed using the point cloud library(PCL). Multiple datasets have shown robust performance of the presented system in indoor scenarios.
机译:准确的三维感知是许多工程应用的关键技术,包括移动映射,障碍物检测和虚拟现实。在本文中,我们提供了一种手持式嵌入式系统,用于构建结构化室内环境的3D表示。与传统的车辆传播的移动映射方法不同,这里呈现的系统能够有效地获取3D数据,同时携带设备的操作员穿过该站点。它包括同时定位和映射(SLAM)模块,3D姿态估计模块和点云处理模块。 SLAM基于使用现代激光雷达系统的扫描匹配方法,并且使用惯性传感器的导航滤波器产生3D姿态估计。硬件包括三个2D时飞行激光测距仪和惯性测量单元(IMU)。所有传感器刚性安装在车身框架上。该算法是在机器人操作系统(ROS)的框架上开发的。使用点云库(PCL)构建3D模型。多个数据集在室内方案中显示了所呈现的系统的强大性能。

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