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Article
Peer-Review Record

A Deep-Learning-Based Vehicle Detection Approach for Insufficient and Nighttime Illumination Conditions

Appl. Sci. 2019, 9(22), 4769; https://doi.org/10.3390/app9224769
by Ho Kwan Leung, Xiu-Zhi Chen, Chao-Wei Yu, Hong-Yi Liang, Jian-Yi Wu and Yen-Lin Chen *
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Appl. Sci. 2019, 9(22), 4769; https://doi.org/10.3390/app9224769
Submission received: 30 October 2019 / Revised: 6 November 2019 / Accepted: 7 November 2019 / Published: 8 November 2019

Round 1

Reviewer 1 Report

This revision has been significantly improved with respect to the first submission, but it could be even better adding more than 2 references as "related works", with a discussion about how your method relate to what other research groups are doing. Thare are plenty of works adressing the same or similar problems, also outside of your community:

https://scholar.google.com/scholar?&q=nighttime+vehicle+detection

Author Response

Response: (Section 2, page 6-7) Thanks for the valuable suggestion. We have added the citations of relevant references and addressed in section 2 (page 6-7), from line 205 to 231. Also, we have entirely rearranged and checked the index of references.

Author Response File: Author Response.pdf

Reviewer 2 Report

The manuscript is well revised according to the reviewer's comments.

Author Response

Response: Thanks for the positive recommendation.

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