Complex Sensor Networks

Autonomous surveillance based on unmanned robotic network is in demand in search & rescue in hazardous environments and for continuous remote monitoring. For autonomous robotic surveillance, the robots should be able to gather information and analyze patterns in object behavior. Effective surveillance rests in detecting point and pattern changes normal behavior and thereby assessing the situation. The robotic network can then reconfigure to deliberate for additional information or to optimize surveillance performance. This project proposes to develop goal-driven surveillance based on autonomous systems. For initial development, several mobile robots equipped with video, infrared sensors and a microphone will be used. Sensory information will first be analyzed to detect pattern changes. Information from multiple sensors is then fused by a self-optimized approach to assess the current situation. The proposed system will be developed with three unmanned mobile agents. It addresses aspects critical to Canadian land and port security and is directly in line with Canada’s initiative on developing technology for C4ISR in the operation of diverse capital assets in times of emergencies or threats.

Faculty Supervisor:

Dr. Henry Leung


Gabriela Osan, Shubhrajit Bhattacharjee and Siyue Chen


Dr. Robot Inc.




Information and communications technologies


University of Calgary



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