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Indoor navigation is a foundational technology to assist the tracking and localization of humans, autonomous vehicles, drones, and robots in indoor spaces. Due to the lack of penetration of GPS signals in buildings, subterranean locales,…

Machine Learning · Computer Science 2024-08-12 Sudeep Pasricha

Traceability to the International System of Units (SI) is fundamental to measurement accuracy and reliability. In this study, we demonstrate subnanometer traceability of localization microscopy, establishing a metrological foundation for…

Accurate localization is an essential technology for the flexible navigation of robots in large-scale environments. Both SLAM-based and map-based localization will increase the computing load due to the increase in map size, which will…

Robotics · Computer Science 2024-04-30 Yixiao Feng , Zhou Jiang , Yongliang Shi , Yunlong Feng , Xiangyu Chen , Hao Zhao , Guyue Zhou

Considering the growing interest in magnetic materials for unconventional computing, data storage, and sensor applications, there is active research not only on material synthesis but also characterisation of their properties. In addition…

This article proposes a novel indoor magnetic field-based place recognition algorithm that is accurate and fast to compute. For that, we modified the generalized ''Hough Transform'' to process magnetic data (MagHT). It takes as input a…

Signal Processing · Electrical Eng. & Systems 2023-12-11 Iad Abdul Raouf , Vincent Gay-Bellile , Steve Bourgeois , Cyril Joly , Alexis Paljic

Localization plays an essential role in many ubiquitous computing applications. While the outdoor location-aware services based on GPS are becoming increasingly popular, their proliferation to indoor environments is limited due to the lack…

Networking and Internet Architecture · Computer Science 2013-08-08 Andrei Popleteev , Venet Osmani , Oscar Mayora

Most of the existing mobile robot localization solutions are either heavily dependent on pre-installed infrastructures or having difficulty working in highly repetitive environments which do not have sufficient unique features. To address…

Robotics · Computer Science 2019-11-22 Zhenyu Wu , Mingxing Wen , Guohao Peng , Xiaoyu Tang , Danwei Wang

The main idea of magnetic hyperthermia is to increase locally the temperature of the human body by means of injected superparamagnetic nanoparticles. They absorb energy from a time-dependent external magnetic field and transfer it into…

Soft Condensed Matter · Physics 2021-09-27 Zs. Iszaly , I. G. Marian , I. A. Szabo , A. Trombettoni , I. Nandori

Spatially inhomogeneous magnetic fields offer a valuable, non-visual information source for positioning. Among systems leveraging this, magnetic field-based simultaneous localization and mapping (SLAM) systems are particularly attractive.…

Robotics · Computer Science 2026-04-16 Chuan Huang , Gustaf Hendeby , Isaac Skog

Nanoscale wireless networks are expected to revolutionize a variety of domains, with significant advances conceivable in in-body healthcare. In healthcare, these nanonetworks will consist of energy-harvesting nanodevices passively flowing…

Emerging Technologies · Computer Science 2021-05-06 Filip Lemic , Sergi Abadal , Aleksandar Stevanovic , Eduard Alarcón , Jeroen Famaey

Mobile medical imaging devices are invaluable for clinical diagnostic purposes both in and outside healthcare institutions. Among the various imaging modalities, only a few are readily portable. Magnetic resonance imaging (MRI), the gold…

Tracking passive magnetic markers plays a vital role in advancing healthcare and robotics, offering the potential to significantly improve the precision and efficiency of systems. This technology is key to developing smarter, more…

Machine Learning · Computer Science 2024-03-26 Mengfan Wu , Thomas Langerak , Otmar Hilliges , Juan Zarate

We introduce a novel approach for the precise localization of 67 anatomical structures from single depth images captured from the exterior of the human body. Our method uses a multi-class occupancy network, trained using segmented CT scans…

Computer Vision and Pattern Recognition · Computer Science 2025-04-23 Pit Henrich , Franziska Mathis-Ullrich

On the off-the-shelf navigational assistance devices, the localization precision is limited to the signal error of global navigation satellite system (GNSS). During travelling outdoors, the inaccurately localization perplexes visually…

Computer Vision and Pattern Recognition · Computer Science 2019-05-15 Ruiqi Cheng , Kaiwei Wang , Longqing Lin , Kailun Yang

A network of nanomachines (NMs) can be used to build a target detection system for a variety of promising applications. They have the potential to detect toxic chemicals, infectious bacteria, and biomarkers of dangerous diseases such as…

Information Theory · Computer Science 2024-01-10 Nithin V. Sabu , Abhishek K. Gupta

We propose a novel external indoor positioning system that computes the position and orientation of multiple model-scale vehicles. For this purpose, we use a camera mounted at a height of 3.3m and LEDs attached to each vehicle. We reach an…

Multiagent Systems · Computer Science 2020-05-27 Maximilian Kloock , Patrick Scheffe , Isabelle Tülleners , Janis Maczijewski , Stefan Kowalewski , Bassam Alrifaee

In this paper, a comprehensive survey of the pioneer as well as the state of-the-art localization and tracking methods in the wireless sensor networks is presented. Localization is mostly applicable for the static sensor nodes, whereas,…

Networking and Internet Architecture · Computer Science 2017-01-10 Sudhir Kumar , Rajesh M. Hegde

In this paper we extend our previous work on UAV localization based on the magnetic field strength. The method is based on a magnetic flux density distribution in vicinity of two very long, thin and parallel transmission lines. An UAV is…

Robotics · Computer Science 2023-09-22 Goran Vasiljevic , Dean Martinovic , Matko Batos , Stjepan Bogdan

Recent progress in nanofabrication and additive manufacturing have facilitated the building of nanometer-scale three-dimensional structures, that promise to lead to an emergence of new functionalities within a number of fields, compared to…

Mesoscale and Nanoscale Physics · Physics 2020-04-22 Claire Donnelly , Valerio Scagnoli

Global localisation from visual data is a challenging problem applicable to many robotics domains. Prior works have shown that neural networks can be trained to map images of an environment to absolute camera pose within that environment,…

Robotics · Computer Science 2024-01-03 Christopher J. Holder , Muhammad Shafique