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This short paper presents research findings on two learning-based methods for quantifying measurement uncertainties in global navigation satellite systems (GNSS). We investigate two learning strategies: offline learning for outlier…

Robotics · Computer Science 2025-03-10 Haoming Zhang

This article proposes an inertial navigation algorithm intended to lower the negative consequences of the absence of GNSS (Global Navigation Satellite System) signals on the navigation of autonomous fixed wing low SWaP (Size, Weight, and…

Robotics · Computer Science 2022-05-05 Eduardo Gallo , Antonio Barrientos

Magnetic imaging based on ensembles of diamond nitrogen-vacancy quantum sensors has emerged as a useful technique for the spatial characterisation of magnetic materials and current distributions. However, demonstrations have so far been…

This paper proposes a novel approach to map-based navigation system for unmanned aircraft. The proposed system attempts label-to-label matching, not image-to-image matching, between aerial images and a map database. The ground objects can…

Computer Vision and Pattern Recognition · Computer Science 2022-05-31 Youngjoo Kim

Accurate and robust global localization is essential to robotics applications. We propose a novel global localization method that employs the map traversability as a hidden observation. The resulting map-corrected odometry localization is…

Robotics · Computer Science 2019-10-02 Cheng Peng , David Weikersdorfer

In Global Navigation Satellite System (GNSS)-denied environments such as indoor parking structures or dense urban canyons, achieving accurate and robust vehicle positioning remains a significant challenge. This paper proposes a…

The contribution describes a pedestrian navigation approach designed to improve localization accuracy in urban environments where GNSS performance is degraded, a problem that is especially critical for blind or low-vision users who depend…

Robotics · Computer Science 2026-02-02 Shahar Dubiner , Peng Ren , Roberto Manduchi

Indoor magnetic fields are a combination of Earth's magnetic field and disruptions induced by ferromagnetic objects, such as steel structural components in buildings. As a result of these disruptions, pervasive in indoor spaces, magnetic…

Robotics · Computer Science 2023-09-06 Natalia Pavlasek , Charles Champagne Cossette , David Roy-Guay , James Richard Forbes

Harnessing the magnetic field of the Earth for navigation has shown promise as a viable alternative to other navigation systems. A magnetic navigation system collects its own magnetic field data using a magnetometer and uses magnetic…

The diamond and completely bounded norms for linear maps play an increasingly important role in quantum information science, providing fundamental stabilized distance measures for differences of quantum operations. Based on the theory of…

Quantum Physics · Physics 2007-11-26 Nathaniel Johnston , David W. Kribs , Vern I. Paulsen

In the absence of external reference position information (e.g. GNSS) SLAM has proven to be an effective method for indoor navigation. The positioning drift can be reduced with regular loop-closures and global relaxation as the backend,…

Robotics · Computer Science 2018-02-20 Jacky C. K. Chow

Local detection of magnetic fields is crucial for characterizing nano- and micro-materials and has been implemented using various scanning techniques or even diamond quantum sensors. Diamond nanoparticles (nanodiamonds) offer an attractive…

Quantum Physics · Physics 2022-09-09 Moeta Tsukamoto , Shuji Ito , Kensuke Ogawa , Yuto Ashida , Kento Sasaki , Kensuke Kobayashi

Magnetic sensing and imaging instruments are important tools in biological and material sciences. There is an increasing demand for attaining higher sensitivity and spatial resolution, with implementations using a single qubit offering…

In the classical context of robotic mapping and localization, map matching is typically defined as the task of finding a rigid transformation (i.e., 3DOF rotation/translation on the 2D moving plane) that aligns the query and reference maps…

Robotics · Computer Science 2016-09-09 Kanji Tanaka

Quantum diamond magnetometers using lock-in detection have successfully detected weak bio-magnetic fields from neurons, a live mammalian muscle, and a live mouse heart. This opens up the possibility of quantum diamond magnetometers…

Quantum Physics · Physics 2023-07-04 Sangwon Oh , Seong-Joo Lee , Jeong Hyun Shim , Nam Woong Song , Truong Thi Hien

Quantum sensing utilizes quantum systems as sensors to capture weak signal, and provides new opportunities in nowadays science and technology. The strongest adversary in quantum sensing is decoherence due to the coupling between the sensor…

Quantum Physics · Physics 2020-07-15 Yijin Xie , Jianpei Geng , Huiyao Yu , Xing Rong , Ya Wang , Jiangfeng Du

Path planning algorithms for unmanned aerial or ground vehicles, in many surveillance applications, rely on Global Positioning System (GPS) information for localization. However, disruption of GPS signals, by intention or otherwise, can…

Optimization and Control · Mathematics 2018-07-12 Kaarthik Sundar , Shriram Srinivasan , Sohum Misra , Sivakumar Rathinam , Rajnikant Sharma

We analyze magnetometry using an optically levitated nanodiamond. We consider a configuration where a magnetic field gradient couples the mechanical oscillation of the diamond with its spin degree of freedom provided by a Nitrogen vacancy…

Quantum Physics · Physics 2017-08-09 Pardeep Kumar , M. Bhattacharya

Global Navigation Satellite Systems (GNSS) are integrated into many devices. However, civilian GNSS signals are usually not cryptographically protected. This makes attacks that forge signals relatively easy. Considering modern devices often…

Cryptography and Security · Computer Science 2025-05-13 Wenjie Liu , Panos Papadimitratos

An ongoing process of miniaturization of spintronics and magnetic-films-based devices, as well as a growing necessity for basic material research place stringent requirements for sensitive and accurate magnetometric measurements of minute…

Materials Science · Physics 2019-07-08 Katarzyna Gas , Maciej Sawicki