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- W1966190648 abstract "In this paper, we present a depth-based obstacle detection system in computer vision. Segmentation and noise elimination are adopted to capture different obvious objects. High performance is achieved via obstacle extraction. Our framework can be used to help blind people prevent from dangers and applied to other dynamic surveillance applications. The detection rate is above 93.7% outdoors and indoors." @default.
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- W1966190648 date "2012-09-01" @default.
- W1966190648 modified "2023-10-05" @default.
- W1966190648 title "An intelligent depth-based obstacle detection for mobile applications" @default.
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- W1966190648 doi "https://doi.org/10.1109/icce-berlin.2012.6336467" @default.
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