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Faculty Members
Assistant Professor
Remote Pilot Licensed by FAA
Electrical and Computer Engineering
na.gong@ndsu.edu
North Dakota leads the unmanned aerial vehicle (UAV) industry as the drone test site. The state has provided over $30 million to advance UAV research and development and is collaborating with
organizations statewide to build this emerging industry.
The UAV System Lab at North Dakota State University conducts research in the general areas of UAV system development such as wireless sensor network, aerial data processing system, data storage system, UAV enabled civil infrastructure inspection (e.g. wind turbines, railways, bridges and pipelines), intelligent damage detection, on-board embedded system for precision agriculture. Our research has been supported by National Science Foundation, ND NASA EPSCoR, and ND Department of Commerce. We have developed NDSU-Aero platform. Our UAV enabled technique has received 2016 NDSU Ozbun Economic Development Award. Our mission is to develop low-cost and high-speed data capturing, data processing, data storage systems for UAV.
Ongoing Projects:
Wireless Passive Sensor Networks with UAS for Critical Civil Infrastructure Inspection: Critical civil infrastructure, such as wind turbines, railways, bridges and pipelines, is a key lifeline as networks for economy and society need. An innovative technology using the wireless passive networks with UAS is proposed through integrating data collection, data storage and processing, damage identification, and risk assessment for developing intelligent critical civil infrastructures. RF powered wireless sensor networks are distributed to predetermined locations, while the UAS will be utilized and through custom integrated circuit chip design to optimize on-board processing and storage for data in-situ transmission. With such, in-situ performance data will be available for timely assessing and managing these intelligent critical infrastructures.
Real-Time On-Board Image/Video Processing/Storage/Detection System for UAV: Unmanned Aerial Vehicles (UAVs) are emerging as a cost-effective and robust tool for many applications such as precision agriculture and oil/gas industry. However, current UAVs suffer from short flight life, huge image/video data size, and slow processing speed. We are working on power-efficient and high-speed on-board image/video processing, storage, detection systems, for unmanned vehicles targeting for different applications such as structure monitoring (e.g. wind turbines, railways, bridges and pipelines) and precision agriculture (e.g. crop population, livestock health monitoring, smart bin monitoring system).
Aircrafts:
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