[HTML][HTML] Vehicle-to-everything (V2X) in the autonomous vehicles domain–A technical review of communication, sensor, and AI technologies for road user safety

SA Yusuf, A Khan, R Souissi - Transportation Research Interdisciplinary …, 2024 - Elsevier
Autonomous vehicles (AV) are rapidly becoming integrated into everyday life, with several
countries anticipating their inclusion in public transport networks in the coming years. Safety …

Mutual interference suppression using wavelet denoising in automotive FMCW radar systems

S Lee, JY Lee, SC Kim - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
This paper presents an efficient mutual interference suppression method using wavelet
denoising in automotive radar systems. When a radar signal transmitted from another radar …

Statistical characteristic-based road structure recognition in automotive FMCW radar systems

S Lee, BH Lee, JE Lee, SC Kim - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper proposes an efficient road structure recognition method using statistical
characteristics of received signals in automotive frequency-modulated continuous wave …

Static background removal in vehicular radar: Filtering in azimuth-elevation-doppler domain

X Gao, S Roy, L Zhang - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Anti-collision assistance, integral to the current drive towards increased vehicular autonomy,
relies heavily on precise detection and localization of moving targets in the vehicle's vicinity …

Clustering of detected targets using DBSCAN in automotive radar systems

S Lim, S Lee, SC Kim - 2018 19th international radar …, 2018 - ieeexplore.ieee.org
In this paper, we propose a method of clustering detected targets using density-based
spatial clustering of applications with noise (DBSCAN) in the automotive frequency …

Classification and spectral mapping of stationary and moving objects in road environments using fmcw radar

H Song, HC Shin - IEEE Access, 2020 - ieeexplore.ieee.org
In order to establish a reliable map of the road environment, this paper aims to classify the
stationary and moving objects unlike the previous researches which generally focus on …

Mutual interference suppression and signal restoration in automotive FMCW radar systems

S Lim, S Lee, JH Choi, J Yoon… - IEICE Transactions on …, 2019 - search.ieice.org
This paper presents an interference suppression and signal restoration technique that can
create the clean signals required by automotive frequency-modulated continuous wave …

High-density clutter recognition and suppression for automotive radar systems

J Yoon, S Lee, S Lim, SC Kim - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, an enhanced high-density clutter recognition and suppression method for
automotive frequency-modulated continuous wave (FMCW) radar systems are presented. In …

Road environment recognition for automotive FMCW radar systems through convolutional neural network

H Sim, TD Do, S Lee, YH Kim, SC Kim - IEEE Access, 2020 - ieeexplore.ieee.org
In this study, we propose a method to recognize road environments with automotive
frequency-modulated continuous wave (FMCW) radar systems. For automotive radar …

Periodic clutter suppression in iron road structures for automotive radar systems

S Lee, YJ Yoon, J Yoon, H Sim… - IET Radar, Sonar & …, 2018 - Wiley Online Library
In this study, the authors propose a periodic clutter suppression method in iron road
structures for automotive radar systems. Specific road structures made of iron such as …