Navigation Systems and Sensors

Dear Colleagues,

Navigation is an integral part of human activity in all environments. The variety of applications for navigation systems is relevant to human activities in space, air, land, water, underwater, and inside buildings and structures. In recent years, autonomous navigation systems for vehicles moving in any environment have been intensively developed. These systems increasingly use methods of artificial intelligence including deep learning. Intensively developed sensors such as radar, sonar, LiDAR, cameras, magnetometers, gravimeters and others provide necessary navigation data also in the process of multisensory data fusion. Navigation systems based on remote sensing are increasingly used also for navigation without GNSS including inside objects. Artificial intelligence, autonomous navigation and sensor fusion are very important topics undertaken by the most serious research centers in the world. In this topical collection, we will collect articles on many aspects of advanced navigation problems, mainly implemented with sensors, including applications of artificial intelligence methods to navigation, multisensory data fusion, comparative navigation, non-GNNS navigation, SLAM, and other topics related to navigation systems and sensors. Topics in this TC include, but are not limited to, the following keywords:

• Artificial Intelligence for navigation and remote sensors data processing.
• Deep learning algorithms for navigation.
• Multisensory data fusion for navigation.
• Big data processing for navigation.
• Autonomous navigation.
• SLAM (simultaneous localization and mapping).
• Comparative (terrain reference) navigation.
• Space and satellite navigation.
• Aerial, surface and underwater navigation.
• Non GNSS autonomous navigation.
• Sensor data processing, data reduction, feature extraction, and image understanding for autonomous navigation.
• Path-planning methods for autonomous navigation.
• Automatic target and obstacle detection and classification for autonomous navigation.
• Target tracking and anti-collision algorithms and methods for autonomous navigation.

Prof. Dr. Andrzej Stateczny
Collection Editor

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