Journal of the Institute of Electronics and Information Engineers (전자공학회논문지)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Lane Detection System Development based on Android using Optimized Accumulator Cells

Accumulator cells를 최적화한 안드로이드 기반의 차선 검출 시스템 개발

  • Received : 2013.08.30
  • Published : 2014.01.25
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Abstract

In the Advanced Driver Assistance Systems (ADAS) of smart vehicle and Intelligent Transportation System (ITS) for to detect the boundary of lane is being studied a lot of Hough Transform. This method detects correctly recognition the lane. But recognition rate can fall due to detecting straight lines outside of the lane. In order to solve this problems, this paper proposed an algorithm to recognize the lane boundaries and the accumulator cells in Hough space. Based on proposed algorithm, we develop application for Android was developed by H/W verification. Users of smart phone devices could use lane detection and lane departure warning systems for driver's safety whenever and wherever. Software verification using the OpenCV showed efficiency recognition correct rate of 93.8% and hardware real-time verification for an application development in the Android phone showed recognition correct rate of 70%.

지능형 교통 시스템(ITS) 및 지능형 자동차의 운전자 보조 시스템에서 차선의 경계를 검출하기 위한 허프 변환 방법이 많이 연구되고 있다. 이 방법의 경우 차선을 효과적으로 인식하지만 차선 이외의 영역의 직선들도 인식할 수 있기 때문에 인식률이 떨어질 수 있고 연산속도가 늦어진다. 본 논문에서는 이러한 문제를 해결하기 위해 Hough space에 Accumulator cells를 최적화한 방법을 이용해서 차선 경계를 인식하는 알고리즘을 제안하였다. 이를 바탕으로 H/W 검증을 통해 안드로이드용 어플리케이션을 개발하였다. 스마트 기기의 사용자라면 언제 어디서든 운전자의 주행안전을 위한 차선검출 및 차선이탈 경보시스템을 사용 할 수 있도록 하였다. 소프트웨어 검증은 OpenCV를 사용하여 93.1%의 높은 차선인식률을 보였으며, 하드웨어 실시간 검증은 안드로이드용 휴대폰을 사용하여 68.89%의 차선인식률을 보였다.

Keywords

References

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