Transactions of the Korean Society of Automotive Engineers (한국자동차공학회논문집)

The Korean Society of Automotive Engineers (한국자동차공학회)
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Application and Analysis of 2D FRI (Finite Rate of Innovation) Super-resolution Technique in Vision Navigation

영상 항법에서의 2D FRI (Finite Rate of Innovation) Super-resolution 기법 적용 및 분석

  • Yoo, Kyungwoo (The Cho Chun Shik Graduate School for Green Transportation, KAIST) ;
  • Kong, Seung-Hyun (The Cho Chun Shik Graduate School for Green Transportation, KAIST)
  • 유경우 (한국과학기술원 조천식 녹색교통대학원) ;
  • 공승현 (한국과학기술원 조천식 녹색교통대학원)
  • Received : 2014.01.16
  • Accepted : 2014.08.12
  • Published : 2015.01.01
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Abstract

In urban area, since multipath and signal attenuations frequently occur due to street trees, street lights and buildings, it is difficult to obtain accurate navigation solution using GPS. As these problems also impact negatively on the INS/GPS coupled system, implementing advanced transportation systems such as autonomous navigation system and Intelligent Transportation System (ITS) become quite hard. For this reason, to alleviate deterioration of navigation system performance in urban area, direction information extraction algorithm using vision system is proposed in this paper. 2D Finite Rate of Innovation (FRI) technique is applied to extract lane edges. The proposed technique is simulated using road images and feasibility of proposed technique is analyzed through the simulation results.

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References

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