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...
This experience paper presents observations, lessons learned, and recommendations based on a case study of reuse. The case study is concerned with the development, maturation, and...
In this paper, we introduce a discrete-time model for the complete power supply sub-system that closely approximates the behavior of its circuit-level (i.e., HSpice), continuous-t...
Luca Benini, Giuliano Castelli, Alberto Macii, Enr...
The navigational tasks of computingtime-to-impact and controlling movements within specific range are addressed here. By using specially designed lenses various components of thes...
Didi Sazbon, Ehud Rivlin, Zeev Zalevsky, David Men...
In this paper a multijoint robot for sewer inspection tasks is presented. In order to increase the operating scope the robot has been made able to run round or over obstacles, to ...