Sensor Fusion in Robotics and Intelligent Mobility

Dear Colleagues,

Intelligent mobility and robotics research has witnessed rapid progress due to the need to improve human–computer interaction and improve the safety of road users. Typically, different sensors, such as visible cameras, thermal cameras, LIDARs, milliwave radars, etc., are used in this research. In recent years, researchers have sought to increase the robustness of intelligent mobility and robotics applications through effective sensor fusion. New methods have been proposed to effectively fuse these different sensors for various applications.

In this Special Issue, we invite contributions dealing with many aspects of sensor fusion for intelligent mobility and robotics including multi-modal or multiple sensor registration or calibration, traditional and machine learning methods.

Dr. Vijay John
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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.

• multi-modal or multiple sensor registration and calibration
• traditional and machine learning methods for sensor fusion
• sensor fusion-based perception, localization, navigation and control
• sensor fusion applications for autonomous driving
• sensor fusion for robotics
• visible camera, thermal camera, LIDAR, radar, stereo camera, GPS
• missing modalities