An edge detection framework conjoining with IMU data for assisting indoor navigation of visually impaired persons
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- 作者：Kit Yan Chana ; kit.chan@curtin.edu.au" class="auth_mail" title="E-mail the corresponding author ; Ulrich Engelkeb ; Ulrich.Engelke@csiro.au" class="auth_mail" title="E-mail the corresponding author ; Nimsiri Abhayasinghea ; K.Abhayasinghe@curtin.edu.au" class="auth_mail" title="E-mail the corresponding author
- 关键词：Edge detection ; Sigmoid function ; Particle swarm optimization ; Smartphone navigation ; Vision impaired persons ; Inertial measurement unit (IMU)
- 刊名：Expert Systems with Applications
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：67
- 期：Complete
- 页码：272-284
- 全文大小：3292 K
文摘
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A framework with IMU is proposed to aid object detections for moving camera.
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It overcomes existing approaches that cannot detect contaminated image edges.
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It overcomes deblurring algorithms that are not suitable for real‐time implementation.
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Its topological structure is adapted continuously for changing indoor environment.
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Results show it is a strong candidate for reliable real‐time navigation.