Recognition of surrounding environment from electric wheelchair videos based on modified YOLOv2

Currently, the aging population is growing in Japan, and the needs for the utilization of welfare equipment are consequently increasing. The electric wheelchair, which is a convenient transportation tool, has rapidly become popular. However, many accidents have occurred when using electric wheelchai...

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Veröffentlicht in:	Future generation computer systems Jg. 92; S. 157 - 161
Hauptverfasser:	Sakai, Yuki, Lu, Huimin, Tan, Joo-Kooi, Kim, Hyoungseop
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.03.2019
Schlagworte:	Autonomous wheelchair Convolutional neural network Object detection YOLOv2 YOLOv2 Autonomous wheelchair Convolutional neural network Object detection
ISSN:	0167-739X, 1872-7115
Online-Zugang:	Volltext
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