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Conference Paper 심층 신경망을 이용한 자율주행을 위한 의미론적 분할 기술
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Authors
박상헌, 한승준, 최정단
Issue Date
2017-11
Citation
대한전자공학회 종합 학술 대회 (추계) 2017, pp.630-633
Publisher
대한전자공학회
Language
Korean
Type
Conference Paper
Abstract
Recently, developing computer vision according to the development of autonomous vehicle technique. Various computer vision technologies such as object detection, object recognition, and semantic segmentation have been studied using deep neural networks. In this paper, we describe a implementation methods of semantic segmentation using deep neural network with public semantic segmentation dataset. Using trained deep neural network, we inferred the results by using data extracted from the actual vehicle.
KSP Keywords
Autonomous vehicle, Computer Vision(CV), Deep neural network(DNN), Implementation method, Object Recognition, Object detection, Semantic segmentation