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A probabilistic certification method for surveillance systems


N. Kariotoglou

IfA Internal Seminar Series, Zurich

In this work a method to evaluate the performance of autonomous patrolling systems is introduced based on stochastic reachability with random sets. The problem of maximizing the probability that the evader successfully completes an intrusion objective while avoiding capture by the cameras is considered and posed as a stochastic reach-avoid problem. The solution of the stochastic reach-avoid problem is solved via dynamic programming where the optimal value function is used as a quality indicator of each patrolling strategy. A comparison between multiple patrolling strategies is provided via simulation of a realistic patrolling scenario.


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J. Lygeros

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