基于视图回归和里程计的仿人机器人三维自定位

2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) Pub Date : 2015-12-17 DOI:10.1109/ICEEE.2015.7357988

R. Mendoza, P. Bustamante, B. Medrano, Eric Hernández Castillo, J. Zannatha

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引用次数: 3

摘要

在过去的几年里，VSLAM和重新定位算法的研究环境吸引了RGBD或立体相机的实时定位和更高的精度，但也存在要求更高的计算能力或更昂贵的传感器的矛盾心理。本文的目的是提出一种温和的算法来定位人形机器人，该算法使用基于重新定位视图的算法和使用Nadayara-Watson内核的通用回归的测程信息，用于已经已知区域的应用，如机器人世界杯比赛或服务机器人。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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3D self-localization for humanoid robots using view regression and odometry

The ambience of research in VSLAM and relocalization algorithms in the last few years allure with real-time localization and increased precision for RGBD or stereo cameras but with ambivalence requesting higher computational capacity or more expensive sensors. The aim of this paper is to present a gentle algorithm to locate a humanoid robot using relocalization view based algorithms and odometry information using general regression with Nadayara-Watson kernel for applications where the area is already known such as RoboCup competitions or service robots.

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来源期刊

2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)

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