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Traffic Sign Recognition based on Synthesised Training Data
Alexandros Stergiou
, Grigorios Kalliatakis
,
Christos Chrysoulas
Computer Science
School of Mathematical & Computer Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
12
Citations (Scopus)
Overview
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Computer Science
Training Data
100%
Visual Appearance
33%
Recognition System
33%
Recognition Process
33%
Convolutional Neural Network
33%
Appearance Variation
33%
Training Process
33%
Computational Efficiency
33%
Recognition Accuracy
33%
Existing Traffic
33%
INIS
data
100%
roads
33%
variations
16%
images
16%
rotation
16%
efficiency
16%
accuracy
16%
neural networks
16%