Bayesian statistical theory is a convenient way of taking a priori information into consideration when inference is made from images. In Bayesian image detection, the a priori dist...
Abstract— This paper develops and compares two asynchronous distributed scheduling algorithms for multiple controlled searchlights in nonconvex polygonal environments. A searchli...
Karl J. Obermeyer, Anurag Ganguli, Francesco Bullo
Distributed active sensing is a new sensing paradigm, where active sensors and passive sensors are distributed in a field, and collaboratively detect and track the objects. "E...
An important problem in distributed systems is to detect termination of a distributed computation. A computation is said to have terminated when all processes have become passive a...
Abstract. This paper presents a Road Detection and Classification algorithm for Driver Assistance Systems (DAS), which tracks several road lanes and identifies the type of lane bou...
Juan Manuel Collado, Cristina Hilario, Arturo de l...