articleJun 1, 2016Closed access

Traffic-Sign Detection and Classification in the Wild

Tsinghua University · Lehigh University · +1 more institution

Indexed incrossref

Abstract

Although promising results have been achieved in the areas of traffic-sign detection and classification, few works have provided simultaneous solutions to these two tasks for realistic real world images. We make two contributions to this problem. Firstly, we have created a large traffic-sign benchmark from 100000 Tencent Street View panoramas, going beyond previous benchmarks. It provides 100000 images containing 30000 traffic-sign instances. These images cover large variations in illuminance and weather conditions. Each traffic-sign in the benchmark is annotated with a class label, its bounding box and pixel mask. We call this benchmark Tsinghua-Tencent 100K. Secondly, we demonstrate how a robust end-to-end…

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Topics & keywords

Keywords
  • Computer science
  • Benchmark (surveying)
  • Convolutional neural network
  • Robustness (evolution)
  • Traffic sign
  • Minimum bounding box
  • Artificial intelligence
  • Bounding overwatch
UN Sustainable Development Goals
  • Sustainable cities and communities
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