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Relative localization of unmanned aerial vehicle (UAV) swarms in global navigation satellite system (GNSS) denied environments is essential for emergency rescue and battlefield reconnaissance. Existing methods suffer from significant…

Signal Processing · Electrical Eng. & Systems 2025-09-05 Guangyu Lei , Yuqi Ping , Tianhao Liang , Huahao Ding , Tingting Zhang

A Magnetic field Aided Inertial Navigation System (MAINS) for indoor navigation is proposed in this paper. MAINS leverages an array of magnetometers to measure spatial variations in the magnetic field, which are then used to estimate the…

Robotics · Computer Science 2024-04-25 Chuan Huang , Gustaf Hendeby , Hassen Fourati , Christophe Prieur , Isaac Skog

Risk-aware urban localization with the Global Navigation Satellite System (GNSS) remains an unsolved problem with frequent misdetection of the user's street or side of the street. Significant advances in 3D map-aided GNSS use grid-based…

Artificial Intelligence · Computer Science 2022-05-23 Daniel Neamati , Sriramya Bhamidipati , Grace Gao

Unmanned Aerial Vehicles (UAVs) rely on measurements from Inertial Measurement Units (IMUs) to maintain stable flight. However, IMUs are susceptible to physical attacks, including acoustic resonant and electromagnetic interference attacks,…

Systems and Control · Electrical Eng. & Systems 2025-05-05 Haocheng Meng , Shaocheng Luo , Zhenyuan Liang , Qing Huang , Amir Khazraei , Miroslav Pajic

Geomagnetic navigation has drawn increasing attention with its capacity in navigating through complex environments and its independence from external navigation services like global navigation satellite systems (GNSS). Existing studies on…

Robotics · Computer Science 2024-10-22 Wenqi Bai , Xiaohui Zhang , Shiliang Zhang , Songnan Yang , Yushuai Li , Tingwen Huang

For effective autonomous navigation,estimation of the pose of the robot is essential at every sampling time. For computing an accurate estimation,odometric error needs to be reduced with the help of data from external sensor. In this work,…

Computer Vision and Pattern Recognition · Computer Science 2012-12-07 Debajyoti Banerji , Ranjit Ray , Jhankar Basu , Indrajit Basak

Space debris poses a significant threat, driving research into active and passive mitigation strategies. This work presents an innovative collision avoidance system utilizing event-based cameras - a novel imaging technology well-suited for…

Machine Learning · Computer Science 2025-06-23 Antonio Giulio Coretti , Mattia Varile , Mario Edoardo Bertaina

Geological Carbon Storage (GCS) is a key technology for achieving global climate goals by capturing and storing CO2 in deep geological formations. Its effectiveness and safety rely on accurate monitoring of subsurface CO2 migration using…

Computational Physics · Physics 2025-02-12 Abhinav Prakash Gahlot , Rafael Orozco , Felix J. Herrmann

For reliable operation, next generation autonomous agents will need enhanced situational perception as well as precise navigation capabilities. The global navigation satellite system (GNSS) signals that are utilized by practically all…

Signal Processing · Electrical Eng. & Systems 2020-07-30 Nicolas Souli , Panayiotis Kolios , Georgios Ellinas

In the incoming years, the low-aerial space will be crowded by unmanned aerial vehicles (UAVs), which will be providing different services. In this expected context, an emerging problem is to detect and track unauthorized or malicious…

Signal Processing · Electrical Eng. & Systems 2020-07-23 Anna Guerra , Davide Dardari , Petar M. Djuric

To better explore the oceans, seamless communication coverage of the vast 3D underwater space is desired. Unlike terrestrial networks using radio signals, underwater acoustic communications face a unique challenge: nodes in underwater…

Networking and Internet Architecture · Computer Science 2025-01-07 Longfei Zhao , Jingbo Tan , Jintao Wang , Ian F. Akyildiz , Zhi Sun

Today, robotics is an auspicious and fast-growing branch of technology that involves the manufacturing, design, and maintenance of robot machines that can operate in an autonomous fashion and can be used in a wide variety of applications…

Neural and Evolutionary Computing · Computer Science 2012-04-03 Youssef Bassil

We propose a framework for resilient autonomous navigation in perceptually challenging unknown environments with mobility-stressing elements such as uneven surfaces with rocks and boulders, steep slopes, negative obstacles like cliffs and…

Neutrinos are among the most abundant particles in the universe, nearly massless, travel at speeds near the speed of light and are electrically neutral. Neutrinos can be generated through man-made sources like particle accelerators or by…

AEROS aims to develop a nanosatellite as a precursor of a future system of systems, which will include assets and capabilities of both new and existing platforms operating in the Ocean and Space, equipped with state-of-the-art sensors and…

With the increasing prevalence of drones in various industries, the navigation and tracking of unmanned aerial vehicles (UAVs) in challenging environments, particularly GNSS-denied areas, have become crucial concerns. To address this need,…

Robotics · Computer Science 2023-10-16 Iacopo Catalano , Xianjia Yu , Jorge Pena Queralta

Bioinspired polarized skylight navigation system (PSNS) is a new navigation method, which imitates insects using polarized skylight for navigation. However, the latest research shows that the current PSNS is difficult to obtain the…

Robotics · Computer Science 2020-10-21 Huaju Liang , Hongyang Bai

The increasing number of space missions may overwhelm ground support infrastructure, prompting the need for autonomous deep-space guidance, navigation, and control (GN\&C) systems. These systems offer sustainable and cost-effective…

Magnetic-anomaly navigation, leveraging small-scale variations in the Earth's magnetic field, is a promising alternative when GPS is unavailable or compromised. Airborne systems face a key challenge in extracting geomagnetic field data: the…

Machine Learning · Computer Science 2026-05-13 Aritra Das , Yashas Shende , Muskaan Chugh , Reva Laxmi Chauhan , Arghya Pathak , Debayan Gupta

Studies predict that demand for autonomous vehicles will increase tenfold between 2019 and 2026. However, recent high-profile accidents have significantly impacted consumer confidence in this technology. The cause for many of these…

Robotics · Computer Science 2020-09-09 Sanjay Seshan