High cost and high power consumption of underwater acoustic modem have limited the applications and researches of underwater wireless sensor networks (UWSN). This paper presents a node architecture and its low-cost realization to deal with such problems as high cost, high power consumption, large volume, and relative localization in a dense UWSN. Some fundamental functions like short range unde...

A semantic-map building method is proposed to localize a robot in the semantic-map. Our semantic-map is organized by using SIFT feature-based object representation. In addition to semantic map, a vision-based relative localization is employed as a process model of extended Kalman filters, where optical flows and Levenberg-Marquardt least square minimization are incorporated to predict relative ...

in this paper by use of mathematical modeling of an observer [14,15] the notion of relative information functional for relative dynamical systemson compact metric spaces is presented. we extract the information function ofan ergodic dynamical system (x,t) from the relative information of t fromthe view point of observer χx, where x denotes the base space of the system.we also generalize the inv...

Deep learning networks have shown promising performance for object localization in medical images, but require large amount of annotated data supervised training. To address this problem, we propose: 1) A novel contrastive method which embeds the anatomical structure by predicting Relative Position Regression (RPR) between any two patches from same volume; 2) An one-shot framework organ and lan...