07-09-2017, 10:18 AM
Autonomous patrol and presence on the web are established as two basic functionalities of the campus patrol robot. The robot is equipped with various sensors. Different data fusion techniques have been applied. An extended Kalman filter (EKF) is used to merge the GPS data and the electronic compass for the locating and navigating task. And a Bayesian data fusion strategy is used to solve the problem of detection and avoidance of obstacles. The web presence of the patrol robot is ensured through a website and a web-based remote control platform that allows users to access the actual images captured by the patrol robot and control the viewing angle from a remote place through the Internet. Keywords: autonomous patrol robot; multisensor data fusion; avoidance of obstacles.