Special Issue "Advanced Integrated Navigation Methods"

Dear Colleagues,

Accurate and robust positioning services are significant for systems with navigation requirements, such as unmanned aerial vehicles (UAV) and autonomous driving vehicles (ADV). GPS can provide accurate and globally referenced positioning in open areas. Unfortunately, its performance is significantly degraded in urban scenarios. In fact, GPS is highly complementary with local positioning techniques, such as LiDAR odometry and visual odometry. However, these techniques can only provide relative positioning and are subject to drift over time. Specifically, LiDAR odometry can provide continuous pose estimation by registering real-time 3D point clouds over time. Similarly, visual odometry estimates the relative motion between consecutive epochs by associating the tracked features from multiple images. Moreover, these odometry techniques are degraded in highly dynamic scenarios. Therefore, how to intelligently integrate onboard sensors to provide accurate and globally referenced positioning is still a challenging issue. The objective of this Special Issue is to raise researchers’ awareness of integrated navigation techniques in challenging scenarios. Potential topics include, but are not limited to, the following:

• GPS positioning;
• GNSS/INS integration;
• Factor graph optimization theory and Kalman filter theory;
• LiDAR/INS integrated systems;
• Visual/inertial integrated systems;
• Multi-sensor integration;
• UWB, WiFi positioning;
• Collaborative positioning;
• Sensor modeling techniques;
• GNSS real-time kinematic positioning in challenging environments;
• Non-Gaussian noise modeling and estimation;
• Autonomous driving vehicles;
• Unmanned autonomous vehicles.

Dr. Weisong Wen
Dr. Hongmei Chen
Dr. Kedong Wang
Dr. Jiachen Zhang
Guest Editors

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• GPS
• GNSS
• GNSS/INS
• LiDAR odometry
• visual positioning
• multi-sensor integration
• collaborative positioning