2022
DOI: 10.1007/s11760-022-02319-8
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Transnational image object detection datasets from nighttime driving

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Cited by 6 publications
(2 citation statements)
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“…In a further in-depth discussion of the “object to be measured” purely based on the distance identification method, the method presented in [ 19 ] overcomes many challenges in complex lighting conditions, glare, light refraction, motion blur, and many other special problems. Ref.…”
Section: Introductionmentioning
confidence: 99%
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“…In a further in-depth discussion of the “object to be measured” purely based on the distance identification method, the method presented in [ 19 ] overcomes many challenges in complex lighting conditions, glare, light refraction, motion blur, and many other special problems. Ref.…”
Section: Introductionmentioning
confidence: 99%
“…Ref. [ 19 ] provides Faster R-CNN, Cascade R-CNN, RetinaNet, YOLO-V3, CornerNet, and FCOS for image learning and comparison. It is an excellent solution for situations with a large number of images and a large amount of deformation of the object to be measured, as well as a large amount of glare or other factors that interfere with the measurement in the experimental environment.…”
Section: Introductionmentioning
confidence: 99%