Dear Colleagues,

Autonomous driving vehicles, or self-driving cars, have seen enormous progress in recent years. With advances in computing and sensor technologies, onboard systems can deal with a large amount of data and achieve real-time processes continuously and accurately. These systems also handle several specialized functional schemes such as positioning, mapping, perception, motion planning, and control. These key components are essential for the vehicle to achieve fully autonomous operation. In addition, high-definition (HD) maps provide detailed map information for navigating autonomous vehicles to ensure navigation safety to protect human lives. The map itself serves as an additional “pseudo sensor” of the car and significantly enhances the performance and accuracy of perception and positioning algorithms, which are necessary for the vehicle to drive autonomously.

This Special Issue will cover relevant topics and trends in high-definition (HD) maps for intelligent transportation applications and also introduce the new tendencies of this new paradigm in geospatial science.

We would like to invite you to contribute by submitting articles describing your recent research, experimental work, reviews, and/or case studies related to the field of mobile mapping. Contributions may be from but not limited to the following topics:

• Automated production and update of static HD maps;
• Automated production and update of dynamic HD maps;
• Conventional and crowd sourcing mapping platforms for HD map production;
• Third-party certified low-cost multisensor mapping systems for ITS applications;
• Autonomous vehicle navigation with HD point cloud maps;
• Autonomous vehicle navigation with HD vector maps;
• Formats, standards, and field practice guidelines;
• Georeferenced 3D spatial information processing for smart road applications;
• Georeferenced 3D spatial information manipulation for connected vehicles;
• Multisensor calibration;
• Sensor cluster design and platform developments;
• Multisensor fusion for seamless mapping and navigation applications;
• Simultaneous localization and mapping with LiDAR or cameras;
• Point cloud processing;
• Deep learning for 3D spatial information processing;
• Feature extraction from georeferenced images and point cloud;
• Multisensor system assessment and quality validation;
• GNSS denied and challenging environment validation;
• Novel application cases.

Prof. Dr. Kai-Wei Chiang
Dr. Chenglu Wen
Dr. Mohamed Elhabiby
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. Geomatics is an international peer-reviewed open access quarterly 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 1000 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.

• HD maps (high-definition maps)
• MMS (mobile mapping system)
• SLAM (simultaneous localization and mapping)
• ITS (intelligent transportation system)
• Sensor fusion
• KF (Kalman filter)
• Autonomous vehicles