ECRU: An Encoder-Decoder Based Convolution Neural Network (CNN) for Road-Scene Understanding

ECRU: An Encoder-Decoder Based Convolution Neural Network (CNN) for Road-Scene Understanding

This research presents the idea of a novel fully-Convolutional Neural Network (CNN)-based model for probabilistic pixel-wise segmentation, titled Encoder-decoder-based CNN for Road-Scene Understanding (ECRU). Lately, scene understanding has become an evolving research area, and semantic segmentation...

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Bibliographic Details
Main Author: Robail Yasrab
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Journal of Imaging
Subjects:
convolutional neural network (CNN)
ReLU
encoder-decoder
CamVid
pooling
semantic segmentation
VGG-19
ADAS
Online Access:http://www.mdpi.com/2313-433X/4/10/116

Internet

http://www.mdpi.com/2313-433X/4/10/116

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