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The persistent localization of moving targets is one of the most important applications of mobile robot systems. However, the sensors on each individual robot are often not sufficiently accurate for this task, presenting a severe limitation on the application of robots to many situations. To overcome this problem, systems of multiple robots have been established. These systems improve the localization...
This paper proposes a novel multi-hop localization algorithm based on bias self-adaptive correction to solve the distance estimation bias problem for underwater wireless sensor networks (UWSNs), which are commonly deployed in complex ocean environments. The principle of our scheme is firstly to exclude the poor anchors with location bias so as to establish the reliable localization sets for the ordinary...
Short range wireless is an emerging technology that is deployed to serve an increasing number of research projects and applications in various fields. Location estimation of an object comes on top of them. It is considered a major research for remote sensing, navigation and intelligent transportation systems (ITS). Studies show that the location of base stations is of great impact on the position...
Public Land Mobile Network (PLMN) or cellular network location based services use multiple positioning methods in order to fulfill requirements in terms of availability, response time and accuracy. This is needed since no single method performs uniformly best, for all services at all locations. Very often more than one positioning method needs to be applied in a fallback manner, or in LTE in parallel,...
Our previous work has presented a method of localization based on radio waves, useful for a rover on a small planetary body, whose diameter is less than 1 [km]. The important advantage of this method is that it can apply to a rover on small body, while conventional methods of localization cannot apply to. This work assumed that parameters of rotational motion of investigating body are exactly known,...
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