Advances in SLAM and Data Fusion for UAVs/Drones

Dear Colleagues,

Unmanned aerial vehicles (UAVs) equipped with a variety of sensors can safely acquire real-time, high-resolution sensory data of the environment. This data can be applied in various fields, such as construction, agriculture, entertainment, and transportation. For many of these applications, the autonomy of the drone is of critical importance. UAVs need to be equipped with reliable localization, navigation, and exploration capabilities in order to make sense of complex environments by themselves with little/no interventions from operators. The users of UAV technologies are also inundated with overwhelming amounts of data (e.g., large volumes of imagery). Therefore, intelligent algorithms are needed to control the overflow of data by fusing and transforming disparate data into useful and concise information.

This Special Issue captures the state-of-the-art and emerging solutions for the localization and navigation of UAVs, as well as intelligent processing of data from the miniature sensors onboard.

You may choose our Joint Special Issue in Drones.

Dr. Jacky C.K. Chow
Dr. Mozhdeh Shahbazi
Dr. Ajeesh Kurian
Guest Editors

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