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Laser-based navigation enhanced with 3D time-of-flight data

机译:3D飞行时间数据增强了基于激光的导航

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Navigation and obstacle avoidance in robotics using planar laser scans has matured over the last decades. They basically enable robots to penetrate highly dynamic and populated spaces, such as people's home, and move around smoothly. However, in an unconstrained environment the two-dimensional perceptual space of a fixed mounted laser is not sufficient to ensure safe navigation. In this paper, we present an approach that pools a fast and reliable motion generation approach with modern 3D capturing techniques using a time-of-flight camera. Instead of attempting to implement full 3D motion control, which is computationally more expensive and simply not needed for the targeted scenario of a domestic robot, we introduce a ldquovirtual laserrdquo. For the originally solely laser-based motion generation the technique of fusing real laser measurements and 3D point clouds into a continuous data stream is 100% compatible and transparent. The paper covers the general concept, the necessary extrinsic calibration of two very different types of sensors, and exemplarily illustrates the benefit which is to avoid obstacles not being perceivable in the original laser scan.
机译:在过去的几十年中,使用平面激光扫描的机器人技术中的导航和避障已经成熟。它们基本上使机器人能够穿透高度动态且人满为患的空间(例如人们的家),并能够平稳地移动。但是,在不受限制的环境中,固定安装的激光器的二维感知空间不足以确保安全导航。在本文中,我们提出了一种使用飞行时间相机将快速可靠的运动生成方法与现代3D捕捉技术结合起来的方法。与其尝试实现完整的3D运动控制(在计算上更加昂贵,而对于家用机器人的目标场景完全不需要),我们引入了“虚拟激光”。对于最初仅基于激光的运动生成,将真实的激光测量结果和3D点云融合为连续数据流的技术是100%兼容且透明的。本文介绍了一般概念,两种非常不同类型的传感器的必要的外部校准,并示例性地说明了其优点,即可以避免在原始激光扫描中看不到障碍物。

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