使用Shi-Tomasi和KLT对轮椅进行室内视觉定位

2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2017-04-01 DOI:10.1109/CCECE.2017.7946816

Marcus V. P. Lima, P. Kurka, Yuri Silva, V. Lucena

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引用次数: 2

摘要

机器人导航科学界一直在寻求室内精确定位的解决方案。有许多方法可以解决这个问题，包括传感器融合:惯性传感器、相机、激光和基于信号强度的方法(Wi-Fi)。本文提出了一种方法，使用嵌入在机器人上的单个摄像头，指向地板。为了验证该方法的有效性，给出了一个在室内环境下使用电动轮椅的应用。

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Indoor visual localization of a wheelchair using Shi-Tomasi and KLT

A solution for precise indoor localization is sought by the robot navigation scientific community. There are many approaches to solve this problem, including sensor fusion: inertial sensors, cameras, lasers and signal strength-based methods (Wi-Fi). This paper presents an approach using a single camera embedded on the robot, pointing to the floor. To validate this method, an application using an electric powered wheelchair in an indoor environment is presented.

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2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)

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