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Comparison of Active Sensors for 3D Modeling of Indoor Environments

机译:室内环境3D建模有源传感器的比较

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3D perception has known impressive advances in the past 3 years; it corresponds to several technological improvements, plus many new development teams providing open sources. First of all, researchers in Robotics and 3D Perception have made profit of the Kinect sensor; some works were already devoted to 3D cameras, using more expensive Time-of-Flight optical devices. Another common way to acquire dense 3D data, is by scanning the environment by a laser range finder (LRF); as for example, the Hokuyo tilting LRF integrated on the PR2 robot by Willow Garage. To build a dense geometrical model of an indoor environment, several sensors could be selected in order to acquire 3D data. This paper aims at giving some insights on this selection, presenting some pros and cons for Kinect, Hokuyo and ToF optical sensors.
机译:3D感知在过去3年中已知令人印象深刻的进展;它对应于多种技术改进,以及许多提供开放来源的新开发团队。首先,机器人和3D感知的研究人员已经利润了Kinect传感器;一些作品已经专门用于3D摄像机,使用更昂贵的飞行时间光学器件。获得密集3D数据的另一种常见方法是通过激光测距仪(LRF)扫描环境;例如,Hokuyo Tilting LRF通过柳车库集成在PR2机器人上。为了构建室内环境的密集几何模型,可以选择几个传感器以获取3D数据。本文旨在对这一选择提供一些见解,介绍Kinect,Hokuyo和TOF光学传感器的一些优点和缺点。

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