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Traffic Sign Recognition for Autonomous Driving Using Branched YOLOv2 and Geometric Features
Traffic sign recognition (TSR) is an important perception task for autonomous driving and advanced driver-assistance systems, where a system must both localize traffic signs and determine their semantic classes efficiently. This work presents a TSR system based on YOLOv2 for simultaneous detection and classification. Two complementary modifications are studied. First, YOLOv2 is extended with intermediate prediction layers, forming a branched architecture that can terminate inference early for easy cases and reduce computation time. Both whole-image and cell-wise branching strategies are invest
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-18T17:52:00.000Z
First collected: 2026-09-23T13:51:27.104Z. This is not the publication date.