Sized Drone
Sized drones, particularly palm-sized or micro-drones, are the focus of intense research aiming to overcome their inherent limitations in computing power and energy resources while enabling autonomous operation. Current research emphasizes developing efficient navigation algorithms, often employing slimmable neural networks and adaptive sensor fusion techniques to optimize performance within resource constraints, as well as exploring low-cost, low-power sensing modalities like infrared for tasks such as landing and navigation. These advancements are crucial for expanding the applications of small drones in diverse fields, including precision agriculture, surveillance, and indoor navigation, where their size and maneuverability offer unique advantages.
Papers
Dronevision: An Experimental 3D Testbed for Flying Light Specks
Hamed Alimohammadzadeh, Rohit Bernard, Yang Chen, Trung Phan, Prashant Singh, Shuqin Zhu, Heather Culbertson, Shahram Ghandeharizadeh
An Evaluation of Three Distance Measurement Technologies for Flying Light Specks
Trung Phan, Hamed Alimohammadzadeh, Heather Culbertson, Shahram Ghandeharizadeh