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RADAR: Robust AI-Text Detection via Adversarial Learning [PDF]
Neural Information Processing Systems, 2023 Recent advances in large language models (LLMs) and the intensifying popularity of ChatGPT-like applications have blurred the boundary of high-quality text generation between humans and machines.
Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho
semanticscholar +1 more source
Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming [PDF]
IEEE Transactions on Signal Processing, 2021 In this paper, we propose multi-input multi-output (MIMO) beamforming designs towards joint radar sensing and multi-user communications. We employ the Cramér-Rao bound (CRB) as a performance metric of target estimation, under both point and extended ...
Fan Liu +4 more
semanticscholar +1 more source
Skilful precipitation nowcasting using deep generative models of radar [PDF]
Nature, 2021 Precipitation nowcasting, the high-resolution forecasting of precipitation up to two hours ahead, supports the real-world socioeconomic needs of many sectors reliant on weather-dependent decision-making1,2. State-of-the-art operational nowcasting methods
Suman V. Ravuri +19 more
semanticscholar +1 more source
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review [PDF]
IEEE Transactions on Intelligent Vehicles, 2023 Driven by deep learning techniques, perception technology in autonomous driving has developed rapidly in recent years, enabling vehicles to accurately detect and interpret surrounding environment for safe and efficient navigation. To achieve accurate and
Shanliang Yao +10 more
semanticscholar +1 more source
An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2021 Joint communication and radar sensing (JCR) represents an emerging research field aiming to integrate the above two functionalities into a single system, by sharing the majority of hardware, signal processing modules and, in a typical case, the ...
J. A. Zhang +6 more
semanticscholar +1 more source
Carbon‐Based Radar Absorbing Materials toward Stealth Technologies
Advancement of science, 2023 Stealth technology is used to enhance the survival of military equipment in the field of military surveillance, as it utilizes a combination of techniques to render itself undetectable by enemy radar systems.
Seong-Hwang Kim +4 more
semanticscholar +1 more source
Approaches for Road Surface Roughness Estimation Using Airborne Polarimetric SAR
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 The road surface roughness is an important parameter that determines the quality of a road network. It has a direct influence on the grip and skid resistance of the vehicles.
Arun Babu +2 more
doaj +1 more source
Multi-class Road User Detection with 3+1D Radar in the View-of-Delft Dataset
IEEE Robotics and Automation Letters, 2022 Next-generation automotive radars provide elevation data in addition to range-, azimuth- and Doppler velocity. In this experimental study, we apply a state-of-the-art object detector (PointPillars), previously used for LiDAR 3D data, to such 3+1D radar ...
Andras Palffy +4 more
semanticscholar +1 more source
Increasing the noise immunity of radio receiving paths with automatic sensitivity control
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, 2021 The relevance of the study of automatic sensitivity control systems (ASC) is determined by their demand for the creation and modernization of radio receiving paths (RRP) with increased noise immunity for radar systems, radio navigation and radio ...
Р. V. Zayats, I. Y. Malevich
doaj +1 more source
Radar-Based Monitoring of Vital Signs: A Tutorial Overview
Proceedings of the IEEE, 2023 In the last years, substantial attention has been paid to the use of radar systems in health monitoring, due to the availability of both low-cost radar devices and computationally efficient algorithms for processing their measurements. In this article, a
Giacomo Paterniani +8 more
semanticscholar +1 more source