AI-Aided Intelligent Vehicle Positioning in Urban Areas
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".
Deadline for manuscript submissions: 20 September 2025 | Viewed by 134
Special Issue Editors
Interests: visual–inertial navigation systems; visual-aided GNSS positioning; sensor fusion; autonomous driving
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As artificial intelligence (AI) continues to advance at an unprecedented pace, its potential to revolutionize urban mobility and intelligent vehicle systems is becoming increasingly evident. Accurate and reliable vehicle positioning is a critical component of intelligent transportation systems, especially in complex urban environments. However, traditional positioning methods face significant challenges in these settings.
Visual algorithms, while widely used, are highly sensitive to lighting changes, dynamic environments, and featureless scenes, which can compromise their effectiveness in real-world applications. Similarly, Global Navigation Satellite Systems (GNSSs) often experience signal degradation or complete blockage due to high-rise buildings and dense urban infrastructure, commonly referred to as "urban canyons". These limitations necessitate innovative solutions that leverage AI to enhance the accuracy, robustness, and reliability of vehicle positioning systems. This Special Issue aims to explore the application of AI-driven methodologies to address these challenges and advance intelligent vehicle positioning in urban areas. We invite contributions that focus on leveraging AI technologies to overcome the limitations of traditional approaches and enhance positioning accuracy, even in the most challenging urban environments. Topics of interest include, but are not limited to, the following:
- AI-driven algorithms for vehicle positioning and navigation.
- Integration of AI with GNSS, high-definition mapping, and sensor fusion technologies.
- Applications of AI in autonomous driving and smart city infrastructure.
- Case studies showcasing practical implementations of AI-aided positioning systems in urban environments.
Dr. Xiwei Bai
Dr. Yingying Wang
Guest Editors
Manuscript Submission Information
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Keywords
- AI-aided positioning
- intelligent vehicles
- sensor fusion
- urban canyons
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