2017
DOI: 10.1049/iet-its.2016.0110
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Accurate object distance estimation based on frequency‐domain analysis with a stereo camera

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Cited by 11 publications
(3 citation statements)
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“…A precise and robust distance measurement using frequency-domain analysis based on a stereo camera from the analysis of captured images was conducted in Ref. [27]. Here, distance information is calculated using the baseline of two monocular cameras, the focal length, and the pixel disparity that can be calculated directly through the phase of the frequency domain.…”
Section: State Of the Artmentioning
confidence: 99%
“…A precise and robust distance measurement using frequency-domain analysis based on a stereo camera from the analysis of captured images was conducted in Ref. [27]. Here, distance information is calculated using the baseline of two monocular cameras, the focal length, and the pixel disparity that can be calculated directly through the phase of the frequency domain.…”
Section: State Of the Artmentioning
confidence: 99%
“…One of the biggest advantages of dealing with near-crashes is that they are much more frequent than crash events (see the classic 'safety pyramid' introduced by Hydén [6]), resulting in shorter observation times to collect enough data for statistical analysis, whereas the biggest disadvantage is that it may be difficult or expensive to gather reliable data. However, recent development in sensing and ITS technologies highly improved the availability and accuracy of traffic measures [7,8], especially in highways [9][10][11], and the so-called 'big data' can be exploited for a cleaner, more efficient, but also safer transport system [12].…”
Section: Introductionmentioning
confidence: 99%
“…It is, therefore, of interest to investigate solutions that can obviate the use of a LiDAR for ranging in real‐time driving. Stereo vision is an alternative for distance estimation [3]. Although it is cost‐effective, stereo processing is computationally very intensive and not feasible for real‐time applications.…”
Section: Introductionmentioning
confidence: 99%