Sensor for Autonomous Drones

Dear Colleagues,

In recent years, Unmanned Aerial Vehicles (UAVs) have been used in a variety of applications. Such drones are commonly equipped with a wide range of sensors, including GNSS, IMU, Gimbaled camera, optical flow, Lidar, and ultrasonic and stereo depth sensors. Yet, the vision of an autonomous swarm of drones that can perform applications such as door-to-door delivery in a danced urban region is still far from being a reality. This Special Issue will focus on general-purpose autonomous micro drones that can perform complicated missions such as robust and continuance SLAM (Simultaneous Localization And Mapping), real-time 3D motion planning, swarm cooperation, and edge-based machine learning for sensor fusion. We welcome original, state-of-the-art studies in the areas that contribute to academia and industry. The Special Issue will cover but is not limited to the following:

• Adaptive sensor fusion methods for Autonomous UAVs and micro drones;
• In-air self-calibration and sensor failure diagnosis;
• Deep learning-based sensor fusion and state detection;
• Bio-inspired challenges: return to home (RTH), visual navigation, intelligent landing, sense and avoid;
• Indoor navigation and mapping;
• SWARM cooperation and transfer learning between drones;
• Case studies: on intelligent autonomous micro drones.

Prof. Dr. Boaz Ben-Moshe
Prof. Dr. Nir Shvalb
Guest Editors

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