2020
DOI: 10.3390/s20174850
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A Multiscale Recognition Method for the Optimization of Traffic Signs Using GMM and Category Quality Focal Loss

Abstract: 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) to enhance recognition speed and recognition accuracy. Specifically, GMM is utilized to cluster the prior anchors, which are in favor of reducing the clustering error. Meanwhile, considering the most common issue … Show more

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Cited by 11 publications
(8 citation statements)
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“…Traditional Traffic Sign Recognition Technology. The traditional recognition algorithms are aimed at locating the region of interest and identifying the classification [1]. In the study by Zhou and Deng [24], color and spaces were combined so that the traffic sign colors can be treated as one class.…”
Section: Related Workmentioning
confidence: 99%
See 3 more Smart Citations
“…Traditional Traffic Sign Recognition Technology. The traditional recognition algorithms are aimed at locating the region of interest and identifying the classification [1]. In the study by Zhou and Deng [24], color and spaces were combined so that the traffic sign colors can be treated as one class.…”
Section: Related Workmentioning
confidence: 99%
“…Under severe weather conditions such as fog and snowy, traffic accidents occur frequently due to distracted driving, inattentiveness, or poor visibility [1]. To decrease the risk of accidents and improve the driving experience of drivers, traffic sign recognition systems (TSRS) have been developed and played an important role in autonomous driving and road network maintenance [2].…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…These algorithms can automatically locate and identify traffic signs, significantly improving the recognition speed [ 6 ]. However, traffic sign detection and recognition still face the following challenges: In rainy, snowy, foggy, and other complicated weather, the photos captured by the camera contain a significant amount of noise [ 7 ] Under different lighting conditions, the color and saturation of traffic signs will change [ 8 ] Some part of the traffic sign may be blocked by railings, trees, snow, etc. Under different shooting angles, the shape of traffic signs may be distorted Some traffic signs are too small to be recognized …”
Section: Introductionmentioning
confidence: 99%