AI-Enhanced Remote Sensing for High-Precision Positioning and Navigation
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Urban Remote Sensing".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 19
Special Issue Editors
Interests: global navigation satellite systems; multi-sensor fusion for positioning and attitude determination
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent mobility; GNSS structural healthy monitoring; brain-inspired navigation
Special Issues, Collections and Topics in MDPI journals
Interests: characterization and mitigation of errors on GNSS; structural and natural change monitoring; spatial data acquisition for BIM and digital construction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Continuous high-precision positioning and navigation services play a vital role in intelligent transportation, geosciences, infrastructure monitoring, and emerging autonomous systems. With the rapid advancement of artificial intelligence (AI), machine learning, and data-driven methods, new opportunities have emerged to enhance positioning and navigation performances, and address long-standing limitations. By fusing diverse remote sensing observations, such as Global Navigation Satellite Systems (GNSS), optical imagery, LiDAR, and radar, with AI-enhanced algorithms, it becomes possible to overcome limitations caused by multipath effects, signal blockages, and dynamic environments, thus paving the way for more robust and intelligent positioning solutions.
This Special Issue aims to bring together cutting-edge research on AI-enhanced remote sensing for high-precision positioning and navigation. The objective is to explore how AI and related remote sensing technologies can improve error modeling, real-time correction, sensor fusion, and performance in challenging environments. By connecting methodological advances with practical applications, this issue aligns with the scope of Remote Sensing, particularly in advancing geospatial technologies, intelligent sensing, and navigation solutions for both scientific and industrial domains.
We welcome a wide range of contributions, including original research papers, methodological developments, case studies, and comprehensive reviews. The suggested topics include, but are not limited to, the following:
- AI-driven methods for error modeling, mitigation, and correction in remote sensing techniques
- Machine learning approaches for multi-frequency, multi-constellation GNSS
- AI-enhanced fusion of multiple data sources from remote sensing sensors
- Intelligent positioning in urban, indoor, or harsh environments based on multi-sensor fusion
- Real-time high-precision navigation for autonomous vehicles, UAVs, and maritime systems
- AI-assisted atmospheric and ionospheric modeling for GNSS applications
- Applications of deep learning and graph neural networks in precise positioning
- The future development of AI-enhanced precision positioning and navigation and applications
Prof. Dr. Xiangdong An
Prof. Dr. Xiaolin Meng
Dr. Craig M. Hancock
Dr. Qusen Chen
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- intelligent high-precision positioning
- AI-enhanced fusion of multiple remote sensing data sources
- AI-enhanced navigation
- machine learning for remote sensing techniques
- GNSS/INS/vision fusion
- GNSS error modeling and mitigation with AI
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