Autonomous Navigation Technology for Low-Speed Small Unmanned Vehicle: An Overview
Round 1
Reviewer 1 Report
The paper includes a review of current work on small autonomous vehicles for specific purposes. The topic and the information is interesting but I have some concerns that should be considered.
From my point of view, the paper must focus on this type of vehicles so section 1 is ok. But the other sections are focused on technological parts such as sensors, positioning, etc. These issues could be (or not) common to other autonomous vehicles and there is an extensive literature about them. For that reason, from my point of view, there is no point in showing all advances in these fields but distinguishing them in the small vehicles.
Furthermore, applications of these vehicles are very diverse but only a short comment is included about that fact. And applications condition the technological part. So, authors must enhance description of vehicles considering fields of application and the consequences in sensors, decision making, etc.
Author Response
Please see the attachment.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
Infrared cameras are listed in the table, but how to solve the perception problem with infrared cameras is not described.
In terms of deep neural networks, you can refer to some classic networks that have achieved good results on the automatic driving road data sets such as Kitti to support your own views, such as yolov5, mask RCNN and other classic networks should be mentioned.
In line 232, it is said that visual perception still has problems that cannot be solved in complex weather. The statement is too absolute. For example, integrating other sensors can solve the problems of complex weather to a certain extent, and it can polish the language. Instead, there are still problems that are difficult to solve.
The author mainly describes how to solve the problem of tracking accuracy and modeling difficulty under uncertain working conditions, and the references cited are relatively few.
MFAC and iterative learning based algorithm are mentioned, but no specific algorithm is mentioned, and no references are cited.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
My previous comments have been considered.
Reviewer 2 Report
looks good.
