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Article
Peer-Review Record

Hybrid A*-Based Valley Path Planning Algorithm for Aircraft

Aerospace 2024, 11(7), 516; https://doi.org/10.3390/aerospace11070516
by Tao Xue 1, Yueyao Cao 1, Yunmei Zhao 2, Jianliang Ai 1 and Yiqun Dong 1,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Aerospace 2024, 11(7), 516; https://doi.org/10.3390/aerospace11070516
Submission received: 21 May 2024 / Revised: 15 June 2024 / Accepted: 20 June 2024 / Published: 26 June 2024
(This article belongs to the Special Issue UAV Path Planning and Navigation)

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

Summary

The paper proposes a path planning algorithm based on 3D hybrid A* algorithm.  The goal is to find a path based on aircraft dynamics and terrain (represented by DEMs) through a valley. The algorithm is tested in 3 environments. It is compared to 3 alternative algorithms (Dijkstra, APF, TRRT) with 4 objectives (average elevation, path length, valley points deviation, and time cost).

 

Comments

Chapter 1: Introduction

The introduction is well-written and structured. It also lists various alternative algorithms and discusses advantages and limitations.

Chapter 2

No comments

Chapter 3

No comments

Chapter 4

No comments

Chapter 5

The figures visualize very well the problem and its solution. The comparison of the proposed and reference algorithms is also well presented. However, I prefer the best value per column highlighted/bold in the tables instead of the last line. For example, table 1, average elevation of proposed algorithm bold; Path length of APF bold; Valley points deviation and time of proposed algorithm bold.

Additionally, a very brief description of the three reference algorithms would help the reader to understand the comparison. In particular, the differences between the proposed algorithm and the references. Then, the discussion also could go a little bit more into detail. Dijkstra, which is basically A* without a heuristic, finds shorter paths than the proposed algorithm in most cases. Why is that?

Chapter 6

 

Line 378 “We” should be “we” (small w)

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

Drawbacks of the manuscript are as follows.

1. Please, comment briefly basicmain  distinctions between the proposed method and 3 known algorithms used for tests (fference Dijkstra, APF and TRRT). What has provided the obtained gain ?

2. What computer platform was used for testing?

3. Dynamic model part in sec.3.1. looks to be too separated from the following further material. Some additional commentary is desirable, disclosing the idea of interaction of output parameters of the  model given in sec. 3.1 with the further proposed valley path procession method.

4. In sec. 4.1 it is necessary to explain basic procedures to process open and closed lists  (Sopen and Sclosed ).

5. Explain, what is the valley cost in Algorithm 2.

6. In sec. 4.3 the phrase in rows 270-272 concerning the actual cost is not clear enoughFurther, it is preferable to comment possible methods to obtain components of the heuristic cost.

7. Disclose, why the path G has  -1  parameter in row 174.

8. Fig. 1 contains 3 excessive projections of an aircraft, which are not really used in the text, but the angles were not shown.

9. Check please, exp. (9-10), as before them qv was defined as a vector value.

10. Misprint “extened” is to be corrected in Algorithm 1. 

 

Comments on the Quality of English Language

Some language corrections are possible.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

Comments and Suggestions for Authors

All concerns I raised were adequately considered.

Thank you for your work.

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