Next Article in Journal
Closed-Form Capacity Reliability Analysis of Multiuser MIMO System in the Presence of Generalized Multipath Fading
Next Article in Special Issue
Anomaly Detection and Concept Drift Adaptation for Dynamic Systems: A General Method with Practical Implementation Using an Industrial Collaborative Robot
Previous Article in Journal
Movie Scene Event Extraction with Graph Attention Network Based on Argument Correlation Information
Previous Article in Special Issue
YOLO-S: A Lightweight and Accurate YOLO-like Network for Small Target Detection in Aerial Imagery
 
 
Article
Peer-Review Record

Integrating Sparse Learning-Based Feature Detectors into Simultaneous Localization and Mapping—A Benchmark Study

Sensors 2023, 23(4), 2286; https://doi.org/10.3390/s23042286
by Giuseppe Mollica 1,2, Marco Legittimo 1, Alberto Dionigi 1, Gabriele Costante 1 and Paolo Valigi 1,*
Reviewer 1:
Reviewer 2: Anonymous
Sensors 2023, 23(4), 2286; https://doi.org/10.3390/s23042286
Submission received: 19 January 2023 / Revised: 14 February 2023 / Accepted: 17 February 2023 / Published: 18 February 2023
(This article belongs to the Special Issue Artificial Intelligence for Sensing and Robotic Systems)

Round 1

Reviewer 1 Report


Comments for author File: Comments.pdf

Author Response

Dear Reviewer,

Please be informed that we have attached our response letter for your perusal. We hope that this letter adequately addresses any concerns and comments that were raised during the review process.

Thank you for taking the time to provide feedback on our work, which has helped us to improve the quality of our manuscript.

Sincerely,

Giuseppe Mollica, 
Marco Legittimo, 
Alberto Dionigi, 
Gabriele Costante, 
Paolo Valigi.

Author Response File: Author Response.pdf

Reviewer 2 Report

See the attached file

 

Comments for author File: Comments.pdf

Author Response

Dear Reviewer,

Please be informed that we have attached our response letter for your perusal. We hope that this letter adequately addresses any concerns and comments that were raised during the review process.

Thank you for taking the time to provide feedback on our work, which has helped us to improve the quality of our manuscript.

Sincerely,

Giuseppe Mollica, 
Marco Legittimo, 
Alberto Dionigi, 
Gabriele Costante, 
Paolo Valigi.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

After the review addressed by the authors, I consider this paper suitable to be published.

Back to TopTop