Virtual testing of automated driving systems. A survey on validation methods

R Donà, B Ciuffo - IEEE Access, 2022 - ieeexplore.ieee.org
This paper surveys the state-of-the-art contributions supporting the validation of virtual
testing toolchains for Automated Driving System (ADS) verification. The work builds upon the …

[HTML][HTML] gprMax: Open source software to simulate electromagnetic wave propagation for Ground Penetrating Radar

C Warren, A Giannopoulos, I Giannakis - Computer Physics …, 2016 - Elsevier
Abstract gprMax is open source software that simulates electromagnetic wave propagation,
using the Finite-Difference Time-Domain (FDTD) method, for the numerical modelling of …

Learning to remove clutter in real-world GPR images using hybrid data

HH Sun, W Cheng, Z Fan - IEEE Transactions on Geoscience …, 2022 - ieeexplore.ieee.org
The clutter in the ground-penetrating radar (GPR) radargram disguises or distorts
subsurface target responses, which severely affects the accuracy of target detection and …

A realistic FDTD numerical modeling framework of ground penetrating radar for landmine detection

I Giannakis, A Giannopoulos… - IEEE journal of selected …, 2015 - ieeexplore.ieee.org
A three-dimensional (3-D) finite-difference time-domain (FDTD) algorithm is used in order to
simulate ground penetrating radar (GPR) for landmine detection. Two bowtie GPR …

[HTML][HTML] A CUDA-based GPU engine for gprMax: Open source FDTD electromagnetic simulation software

C Warren, A Giannopoulos, A Gray, I Giannakis… - Computer Physics …, 2019 - Elsevier
Abstract The Finite-Difference Time-Domain (FDTD) method is a popular numerical
modelling technique in computational electromagnetics. The volumetric nature of the FDTD …

A machine learning-based fast-forward solver for ground penetrating radar with application to full-waveform inversion

I Giannakis, A Giannopoulos… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The simulation, or forward modeling, of ground penetrating radar (GPR) is becoming a more
frequently used approach to facilitate the interpretation of complex real GPR data, and as an …

Deep learning–based nondestructive evaluation of reinforcement bars using ground‐penetrating radar and electromagnetic induction data

X Li, H Liu, F Zhou, Z Chen… - Computer‐Aided Civil …, 2022 - Wiley Online Library
This paper proposes a nondestructive evaluation method based on deep learning using
combined ground‐penetrating radar (GPR) and electromagnetic induction (EMI) data for …

A machine learning scheme for estimating the diameter of reinforcing bars using ground penetrating radar

I Giannakis, A Giannopoulos… - IEEE Geoscience and …, 2020 - ieeexplore.ieee.org
Ground penetrating radar (GPR) is a well-established tool for detecting and locating
reinforcing bars (rebars) in concrete structures. However, using GPR to quantify the diameter …

A novel convolutional autoencoder-based clutter removal method for buried threat detection in ground-penetrating radar

E Temlioglu, I Erer - IEEE Transactions on Geoscience and …, 2021 - ieeexplore.ieee.org
The clutter encountered in ground-penetrating radar (GPR) systems seriously affects the
performance of the subsurface target detection methods. A new clutter removal method …

Full-wave modeling of near-field radar data for planar layered media reconstruction

S Lambot, F André - IEEE Transactions on Geoscience and …, 2013 - ieeexplore.ieee.org
A new near-field radar modeling approach for wave propagation in planar layered media is
presented. The radar antennas are intrinsically modeled using an equivalent set of …