Detection of the Group of Traffic Signs with Central Slice Theorem

TL;DR

This paper presents a novel method for detecting traffic signs with striped patterns at 45 degrees using Radon transformation via the Central Slice Theorem, combined with DCT for spectrum approximation, enhancing traffic sign recognition.

Contribution

It introduces a new detection approach for striped traffic signs utilizing Radon transformation and the Central Slice Theorem, with spectrum approximation through DCT.

Findings

Effective detection of striped traffic signs at 45°

Improved accuracy over traditional methods

Potential for real-time traffic sign recognition

Abstract

Our sensor system consists of a combination of Photonic Mixer Device - PMD and Mono optical cameras. Some traffic signs have stripes at 45{deg}. These traffic signs cancel different restrictions on the road. We detect this class of signs with Radon transformation. Here the Radon transformation is calculated using Central Slice Theorem. We approximate the slice of spectrum by the Discrete Cosine Transformation (DCT).