Dynamic Data Augmentation Based on Imitating Real Scene for Lane Line Detection
, Lu Wang 1,2, Yongke Chi 1,2, Tao Shen 1,2,*, Jian Song 1, Ju Gao 3 and Shiquan Shen 4Round 1
Reviewer 1 Report
This manuscript proposes a dynamic data augmentation framework based on imitating real scene, which consists of three data augmentation strategies that simulate different realistic scenes. The idea is interesting, but this manuscript needs to be reviewed as following problems.
(1) They should enhance the logical structure of related work in section 1.1.2, which can be summarized in chunks organized by content.
(2) They should clearly articulate the experimental setup, which can be presented in a separate section before the comparative assessment, showing the experimental details in full.
(3) They should state the results under the “Crossroad” category in the analysis of experimental results section. Omitting this category at the description of the comparison results would have confused the reader.
(4) The figures need polishing further. Some of the figures in the experimental section are not well enough laid out, and the images in the figures are not equally spaced.
(5) The language needs polishing further, for there are some grammar mistakes with inconsistent tenses.
Author Response
Please see the attachment.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
Paper proposed a dynamic data augmentation framework based on imitating real scene.
Three dynamic data augmentation strategies that simulate different realistic scenes are also contained in the framework. Experiment results presented in article show that the proposed strategies can improve the robustness of the lane line detection model.
The article is clearly written, has sufficient scientific value, and I recommend its acceptance for publication in RS after corrections.
The shortcoming of the article is the lack of discussion, where limiting conditions under which the proposed solutions may not be reliable should be mentioned, e.g. adverse meteorological conditions (snow or ice on the road), heavy snowfall, etc.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
