Open AccessAccurate object distance estimation based on frequency‐domain analysis with a stereo camera
Author(s) -
Yoo InSub,
Seo SeungWoo
Publication year - 2017
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2016.0110
Subject(s) - computer vision , artificial intelligence , stereo camera , computer science , frequency domain , object (grammar) , computer stereo vision , estimation , domain (mathematical analysis) , stereo cameras , mathematics , engineering , mathematical analysis , systems engineering
Precise and robust distance measurement is one of the most important requirements for driving assistance systems and automated driving systems. In this study, the authors propose a new method for providing accurate distance measurements through frequency‐domain analysis based on a stereo camera by exploiting key information obtained from the analysis of captured images. Moreover, the proposed method was extensively tested and evaluated on a real urban road, highway and tunnel. Based on these results, the authors show that the proposed method provides more precise distance information in real time compared with conventional algorithms. By applying the authors' methodology to measure the distances of various objects, it can be demonstrated that their algorithm offers an improvement of up to 10%.