Multi-Sensor Integration for Mobile and UAS Mapping

Dear Colleagues,

Multi-sensor integration has become a cornerstone for high-precision navigation and mobile mapping. By combining data from diverse sensors such as GNSS, Inertial Measurement Units, LiDAR, RGB and event cameras, among others, integrated systems can effectively overcome the limitations of individual sensors; this is especially true in challenging or GNSS-denied environments. 

More recently, a number of low-earth-orbit (LEO) positioning, navigation, and timing (PNT) systems have been developed by different countries. A LEO PNT system has a much stronger signal than GNSS, which is very difficult to jam or spoof. It can be used either as an autonomous system or as an augmentation system to GNSS.

MDPI is planning to publish a Special Issue of Sensors on multi-sensor integration for navigation and mobile mapping. This Special Issue will focus on next-generation algorithms and estimation methodologies for autonomous multi-sensor integrated systems for precise mobile and UAS mapping applications. Topics of particular interest include, but are not limited to, the following:

1. Robust hybrid GNSS/LEO/INS positioning and navigation in harsh and GNSS-challenging environments;
2. Integration of RGB/event camera-based visual-inertial odometry (VIO)/simultaneous localization and mapping (SLAM); 
3. Real-time autonomous tightly coupled GNSS/LiDAR-visual-inertial odometry (LVIO) integration for challenging GNSS signal, weather, and illumination conditions; 
4. Deep-learning-based algorithms for multi-sensor integration.

Prof. Dr. Ahmed El-Rabbany
Guest Editor

Dr. Ahmed Elamin
Guest Editor Assistant

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