Toplam kayıt 3, listelenen: 1-3
Particle-filter-based pose estimation from controlled motion with application to visual servoing
(InTech Europe, 2014-10)
In this paper, we present a Bayesian algorithm based on particle filters to estimate the camera pose for vision-based control. The state model is represented as a relative camera pose between the current and initial camera ...
Learning multiple experiences useful visual features for active maps localization in crowded environments
(Talyor and Francis, 2015-10)
Crowded urban environments are composed of different types of dynamic and static elements. Learning and classification of features is a major task in solving the localization problem in such environments. This work presents ...
Path planning for visual servoing and navigation using convex optimization
(ACTA Press, 2015)
Exploiting visual cues to control systems for robotic applications is a promising idea. Practically, they are usable only if the end result accedes to the restrictions of the specific environment. These restrictions are ...