Visual Sensing and Unmanned System Navigation Control

Dear Colleagues, 

The emergence of computer vision and unmanned systems has begun to command significant attention in the scientific community. Situated at the cutting edge of technology, computer vision intertwines the rich capabilities of visual perception with the multifaceted complexities inherent to autonomous navigation systems. With the growth in the deployment of unmanned systems and the sustained exponential expansion of machine learning and artificial intelligence, the prospects of integrating visual sensing, pattern recognition, and sensor fusion into autonomous navigational control within intricate environments have vastly broadened. This Special Issue is dedicated to elucidating the synergies between these domains and catalyzing the development of more efficient, sophisticated, and intelligent automated systems.

This Special Issue invites the submission of original research chronicling the most recent advancements, innovative techniques, practical applications, and looming challenges related to visual sensing and unmanned system navigation control.

This Special Issue’s topic is highly relevant to the scope of the "Sensors" journal, as it taps into two critical areas of sensor application—visual sensing for capturing critical data and navigation control in unmanned systems, where sensor processing and fusion are pushed to their limits.

Prof. Dr. Xiliang Chen
Dr. Min Wu
Prof. Dr. Lihui Wang
Prof. Dr. Yueyang Ben
Guest Editors

Manuscript Submission Information

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