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

LIMA, MARCUS; KURKA, PAULO; SILVA, YURI; Lucena, Vicente

2017 • 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE) • 3 citações

Resumo

Resumo

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.

Autoria

Autores do grupo (1)

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palavras-chave

Palavras-chave

Shi-Tomasi corner detectionelectric wheelchairrobot navigationindoor positioning

Status

Published

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Trabalho em anais de evento