2020
DOI: 10.1109/tip.2020.2984898
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Long-Range Binocular Vision Target Geolocation Using Handheld Electronic Devices in Outdoor Environment

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Cited by 18 publications
(3 citation statements)
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“…Numerous methods have been proposed for target geolocation, including monocular vision (Lategahn & Stiller, 2014), binocular vision (Deng et al, 2020), and multi-vision (Brickwedde et al, 2019). Comparatively, targets can be located through one shot by monocular vision, thereby reducing hardware cost and deployment complexity in the wild environment.…”
Section: R E S E a R C H A R T I C L E Wltog : An Optimization Approa...mentioning
confidence: 99%
See 1 more Smart Citation
“…Numerous methods have been proposed for target geolocation, including monocular vision (Lategahn & Stiller, 2014), binocular vision (Deng et al, 2020), and multi-vision (Brickwedde et al, 2019). Comparatively, targets can be located through one shot by monocular vision, thereby reducing hardware cost and deployment complexity in the wild environment.…”
Section: R E S E a R C H A R T I C L E Wltog : An Optimization Approa...mentioning
confidence: 99%
“…However, most surveillance videos lack geospatial information, such as geographical location, attribute characteristics, and temporal characteristics, due to the absence of mapping relationships with the physical world (Xie et al, 2021), which limits the geospatial application of surveillance videos. Numerous methods have been proposed for target geolocation, including monocular vision (Lategahn & Stiller, 2014), binocular vision (Deng et al, 2020), and multi‐vision (Brickwedde et al, 2019). Comparatively, targets can be located through one shot by monocular vision, thereby reducing hardware cost and deployment complexity in the wild environment.…”
Section: Introductionmentioning
confidence: 99%
“…Scholars have recently focused on improving structural parameters. Deng et al [18] improved the binocular localization model based on the structural adjustment of focal length and baseline, and the localization error was well reduced. Shi et al [19] proposed an online binocular sensor measurement method based on iterative gradient descent nonlinear optimization and improved calibration, and the performance was validated with a calibration error of less than 6%.…”
Section: Introductionmentioning
confidence: 99%