Traffic Sign Recognition for Autonomous Driving Using Branched YOLOv2 and Geometric Features

arXiv:2609.22060 · cs.CV · Submitted 2026-09-18 · Read on arXiv

cs.CV

Submitted: 2026-09-18

Updated: 2026-09-18

Terminology

• Accuracy — 8× in this paper · explained in 1 episode
• Verification — 6× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Feature Extraction — 4× in this paper · explained in 2 episodes
• Regularization — 4× in this paper · explained in 3 episodes
• Conference on Computer Vision and Pattern Recognition — 3× in this paper
• Clustering — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• German Traffic Sign Detection Benchmark — 2× in this paper
• Point Clouds — 2× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
• YOLOv3: An Incremental Improvement

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