The Journal of The Korea Institute of Intelligent Transport Systems (한국ITS학회 논문지)

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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Implementation and Evaluation of Multiple Target Algorithm for Automotive Radar Sensor

차량용 레이더 센서를 위한 다중 타겟 알고리즘의 구현과 평가

  • Ryu, In-hwan (Dept. of Computer Science and Information Engineering, Inha Univ.) ;
  • Won, In-Su (Institute for Information and Electronics Research, Inha Univ.) ;
  • Kwon, Jang-Woo (Dept. of Computer Science and Information Engineering, Inha Univ.)
  • 유인환 (인하대학교 컴퓨터공학과) ;
  • 원인수 (인하대학교 정보전자공동연구소) ;
  • 권장우 (인하대학교 컴퓨터공학과)
  • Received : 2017.03.06
  • Accepted : 2017.03.23
  • Published : 2017.04.30
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Abstract

Conventional traffic detection sensors such as loop detectors and image sensors are expensive to install and maintain and require different detection algorithms depending on the night and day and have a disadvantage that the detection rate varies widely depending on the weather. On the other hand, the millimeter-wave radar is not affected by bad weather and can obtain constant detection performance regardless of day or night. In addition, there is no need for blocking trafficl for installation and maintenance, and multiple vehicles can be detected at the same time. In this study, a multi-target detection algorithm for a radar sensor with this advantage was devised / implemented by applying a conventional single target detection algorithm. We performed the evaluation and the meaningful results were obtained.

루프 검지기, 영상 검지기 등의 기존 교통 검지기들은 설치와 유지보수에 드는 비용이 크고, 밤과 낮에 따라 상이한 검지 알고리즘이 필요하거나 날씨에 따라 검지율의 편차가 크다는 단점을 가지고 있다. 반면에 밀리미터파 레이더는 악천후에 의한 영향을 받지 않고, 주야간에 관계없이 일정한 검지 성능을 얻을 수 있다. 덧붙여 설치와 유지보수를 위하여 교통 통제의 필요가 없고, 다수의 차량을 동시에 검지 가능하다. 본 연구는 이러한 장점을 가진 레이더 센서를 활용한 다중 물체 검지 알고리즘을 기존의 단일 물체 검지 알고리즘을 응용하여 구현하였으며 이에 대한 평가를 수행하여 의미 있는 결과를 얻었다.

Keywords

References

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