Mapping and Localization for Intelligent Vehicles in Urban Canyons
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".
Deadline for manuscript submissions: 30 December 2024 | Viewed by 26
Special Issue Editor
Special Issue Information
Dear Colleagues,
The advent of intelligent vehicles has brought forth a new era in transportation, promising enhanced safety, efficiency, and autonomy. However, the complex and dynamic nature of urban canyons, characterized by their high-rise buildings and dense infrastructure, poses significant challenges for mapping and localization systems. The aim of this Special Issue is to delve into the innovative methodologies, technologies, and research advancements that address these challenges for intelligent vehicles. Contributors to this Special Issue are encouraged to present their latest work on high-precision GNSS, high-definition map, advanced sensor fusion, LiDAR and computer vision techniques, machine learning models for environmental perception, and V2X communication systems that contribute to the reliability and accuracy of vehicle localization in challenging urban settings. By collating a diverse collection of papers, this Special Issue aims to provide a comprehensive overview of current trends, identify gaps in existing technologies, and propose novel solutions that could be instrumental in overcoming the challenges faced by intelligent vehicles in urban canyons. The ultimate goal is to advance intelligent vehicle navigation technologies and foster the development of smart cities where such vehicles can operate seamlessly and safely in urban canyons.
Dr. Xiwei Bai
Guest Editor
Manuscript Submission Information
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Keywords
- GNSS positioning
- high-definition map
- urban canyons
