Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"localizability"”.
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Comprehensive Performance Analysis of Localizability in Heterogeneous Cellular Networks
… a tractable analytical model to study the localizability (ability to get a location fix) of an MD in single-tier and heterogeneous cellular networks (HetNets). More importantly, we study how availability of information about the location of proximate BSs at the MD impacts localizability. To …
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Distributed Potential Field Method for Cooperative Range-Only Localization in Multi-Robot Networks
… This system takes waypoints and improves the localizability of the timesteps in between the waypoints, relative to directly going from wach waypoint to the next. A total of 39 tests were conducted with four weight configurations and two noise scenarios with three environments. These tests …
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Statistical Analysis of Geolocation Fundamentals Using Stochastic Geometry
… union of these two fields. First, the concept of localizability, which is the probability that a mobile is able to obtain an unambiguous position estimate, is explored in a 5G, millimeter wave (mm-wave) framework. In this framework, unambiguous single-anchor localization is possible with either a …
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Scalable Full Posterior Inference for Uncertainty-Aware Robot Perception
… perception, focusing on evaluating camera pose localizability to pinpoint visual localization challenges in 3D scenes. By employing this framework, we optimize fiducial marker placements in 3D environments, boosting localization rates by 20%.
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Cooperative Positioning in Wireless Sensor Networks Using Semidefinite Programming
… in terms of positioning accuracy and localizability. Cooperation is also highly beneficial for networks with few anchor nodes and low communication range. On the other hand, SDP provides an alternative solution to the optimal maximum-likelihood (ML) estimation. Unlike in the ML …
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Local Approaches for Fast, Scalable and Accurate Learning with Kernels
… by a recent result relating consistency and localizability, our approach divides the separation function in solutions of local optimization problems that can be handled very efficiently. For this novel approach, we derive a fast local model selection strategy, theoretical learning bounds and …