A Multiscale Recognition Method for the Optimization of Traffic Signs Using GMM and Category Quality Focal Loss

A Multiscale Recognition Method for the Optimization of Traffic Signs Using GMM and Category Quality Focal Loss

Effective traffic sign recognition algorithms can assist drivers or automatic driving systems in detecting and recognizing traffic signs in real-time. This paper proposes a multiscale recognition method for traffic signs based on the Gaussian Mixture Model (GMM) and Category Quality Focal Loss (CQFL...

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Bibliographic Details
Main Authors: Mingyu Gao, Chao Chen, Jie Shi, Chun Sing Lai, Yuxiang Yang, Zhekang Dong
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
image recognition
traffic sign
Gaussian Mixture Model
multiscale recognition
category imbalance
Online Access:https://www.mdpi.com/1424-8220/20/17/4850

Internet

https://www.mdpi.com/1424-8220/20/17/4850

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