학술논문

An Assistive Indoor Navigation System for the Visually Impaired in Multi-Floor Environments
Document Type
Conference
Source
2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER) CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), 2017 IEEE 7th Annual International Conference on. :7-12 Jul, 2017
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Navigation
Path planning
Data structures
Semantics
Google
Data mining
Indoor environments
Language
Abstract
This paper presents an innovative wearable system to assist visually impaired people navigate indoors in real time. Our proposed system incorporates state-of-the-art handheld devices from Google's Project Tango and integrates path planner and obstacle avoidance submodules, as well as human-computer interaction techniques, to provide assistance to the user. Our system preprocesses a priori knowledge of the environment extracted from CAD files and spatial information from Google's Area Description Files. The system can then reallocate resources to navigation and human-computer interaction tasks during execution. The system is capable of exploring complex environments spanning multiple floors and has been tested and demonstrated in a variety of indoor environments.