Visual sensing is essential to robot’s interaction with its environment and can dramatically enhance its autonomy, navigation, manipulation and human interaction capabilities. In the context of these tasks, the crucial choice its the one of representation of the environment and objects, in order to enable robust relative positioning, localization and initialization of different visually guided ...

 Background: Bilateral neck exploration is the gold standard for parathyroid adenoma localization in primary hyperparathyroidism. But surgeons do not have adequate experience for accurate surgical exploration and new methods are developed for surgery like unilateral exploration and minimally invasive surgery, thus, preoperative localization could reduces time and stress in surgical performance....

Several localization algorithms exploit the dependence of phase shift backscattered RFID signal on tag to reader distance. However, in some configuration setups, also depends relative orientation between tag’s and reader’s antenna. In this paper we investigate effects Simultaneous Localization Mapping (SLAM) problem, by comparing approach where is included measurement model with it rather compe...

Objectives: It is clinically essential to know the location of accessory mental foramen in nerve anesthesia. The aim this study was determine frequency and examining its morphometric properties. Methods: A total 35 adult mandibles unknown age, gender, ethnicity were examined. presence mandible investigated bilaterally. In cases with foramen, localization, number, distance relative evaluated. Re...

We propose a distributed algorithm for estimating the 3-D pose (position and orientation) of multiple robots with respect to a common frame of reference when GPS is not available. This algorithm does not rely on the use of any maps, or the ability to recognize landmarks in the environment. Instead we assume that noisy relative measurements between pairs of robots are intermittently available, w...

Abstract Probabilistic localization based on Bayesian theory has been researched as a sensor fusion method to improve the robustness of localization. Pieces position information, generated by sensors’ observation models with consideration for noises, are fused according theory. However, having large noises not considered in their models, sensors output erroneous information; thus, result signif...

802.11 localization algorithms provide the ability to accurately position and track wireless clients thereby enabling location-based services and applications. However, we show that these localization techniques are vulnerable to non-cryptographic attacks where an adversary uses a low-cost directional antenna to appear from the localization algorithm’s perspective to be in another arbitrary loc...

In multirobot localization, the pose beliefs of two robots are updated whenever one robot detects another one and measures their relative distance. This paper proposes the use of a recently proposed localization algorithm that uses negative detection information to localize a group of four-legged Aibo robots in the domain of the RoboCup Standard Platform Four-Legged Competition. Our aim is to t...