USV Search Mission Planning Methodology for Lost Target Rescue on Sea

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

This paper proposes a USV searching planning framework. It first calculates the possible locations of the target, followed by calculating the probability of mission success. Finally, a task scheduling method to coordinate several USVs/UAVs is discussed. The authors might consider the following comments, which could probably be useful.

1. The paper is easy to flow, but the language can be more concise.

2. Comparison with existing methods should be added.

3. There are many magic numbers in the framework, such as R, C before Figure 14. The authors should analyze the performance sensitivity w.r.t. inaccurate parameters in the framework.

Comments on the Quality of English Language

N/A

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

The author presents USV search mission planning methodology for long target rescue on sea. Overall, this topic is interesting, and this paper is well organized and presented, some minor suggestions:

1.  Too much description about research background in Abstract, which needs to be simplified.

2. It is suggested to add an brief paragraph about structure of the whole paper at the end of Introduction part.

3. It is suggested to add an brief paragraph about the advantages of proposed method at the end of section 2.

4. Is there any real-world dataset that can be applied?

5. Limitations of proposed method can also be discussed in conclusion part.

Comments on the Quality of English Language

n/a

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

This contribution presents original ideas in the study and
advances the previous research in this area. The level of the
originality of contribution to the existing knowledge with an
emphasis on the paper’s innovativeness i n both theory
development and methodology used in the study is very high.
This work makes a significant practical contribution and it makes
impact on the research work on the research community.
The quality of arguments, the critical analysis of concepts,
theories and findings, and consistency and coherency of debate are well addressed in this paper.
The paper has a good writing style in term of accuracy, clarity,
readability, organization, and formatting.
Nevertheless the following issues should be addressed:

-Figure 1 shows the mission planning framework for USVs searches for lost targets at sea. Please discuss more in depth the weekness and the stongness of the proposed method.

- The distribution which is adopted is assumed to be Gaussian. What does change if the distribution is not a Gaussian.

In case of faults in the data what do we can do?

The following literature from MDPI papers can help in this context.

Mercorelli, P. A Fault Detection and Data Reconciliation Algorithm in Technical Processes with the Help of Haar Wavelets Packets. Algorithms 2017, 10, 13. https://doi.org/10.3390/a10010013

Li, J.; Zhang, G.; Jiang, C.; Zhang, W. A Survey of Maritime Unmanned Search System: Theory, Applications and Future Directions. Ocean Engineering 2023, 285, 115359

Agbissoh OTOTE, D.; Li, B.; Ai, B.; Gao, S.; Xu, J.; Chen, X.; Lv, G. A Decision-Making Algorithm for Maritime Search and Rescue Plan. Sustainability 2019, 11, 2084.

Schimmack, M.; Mercorelli, P. An Adaptive Derivative Estimator for Fault-Detection Using a Dynamic System with a Suboptimal Parameter. Algorithms 2019, 12, 101. https://doi.org/10.3390/a12050101

 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf