Journal
2023~2024
[2024.12 | SCIE]
Taeyoung Oh, Sungwoo Cho and Jinwoo Yoo, A Reliability Evaluation Methodology for X-In-the-Loop Simulation in Autonomous Vehicle Systems, IEEE Access, 2024.
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[2024.12 | SCOPUS]
Sumin Ahn, Dayeon Yoo, Jaeyeon Yoo and Jinwoo Yoo, Vehicle-Trajectory Prediction Method Using Both Deep Learning and Physics Models, Transactions of the Korean Society of Automotive Engineers, 2024.
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[2024.11 | SCIE] Sensors
Collision Avoidance Path Planning for Automated Vehicles Using Prediction Information and Artificial Potential Field
Sumin Ahn, Taeyoung Oh and Jinwoo Yoo
To enhance safety, the predicted paths of surrounding vehicles anticipate risks and incorporate them into avoidance strategies, enabling more efficient and stable driving. Although the artificial potential field (APF) method is commonly employed for path planning due to its simplicity and effectiveness, it can suffer from the local minimum problem when using gradient descent, causing the vehicle to become stuck before reaching the target. To address this issue and improve the efficiency and stability of path planning, this study proposes integrating prediction data into the APF and optimizing the control points of the quintic Bézier curve using sequential quadratic planning.
PDF Link[2024.11 | SCIE] IEEE Access
AD-VILS: Implementation and Reliability Validation of Vehicle-In-the-Loop Simulation Platform for Evaluating Autonomous Driving Systems
Taeyoung Oh, Yunchul Ha, Dayeon Yoo and Jinwoo Yoo
Herein, we present the essential components of a VILS platform for evaluating ADS (AD-VILS) and propose a methodology to validate the reliability of the implemented AD-VILS platform. This methodology includes scenario definition, techniques for VILS testing and real-world vehicle testing, and procedures for evaluating consistency and correlation based on statistical and mathematical comparisons between the datasets from virtual and real-world tests. Moreover, we empirically derive reliability evaluation criteria through iterative testing. This methodology aims to enhance the precision and reliability of ADS evaluations conducted on AD-VILS platforms.
PDF Link[2024.09 | SCIE]
Anthony Kyung Guzmán Leguel, Hoa-Hung Nguyen, David Gómez Gutiérrez, Jinwoo Yoo and Han-You Jeong, Enhancing the Minimum Awareness Failure Distance in V2X Communications: A Deep Reinforcement Learning Approach, Sensors, 2024.
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[2024.06 | SCOPUS]
Dayeon Yoo and Jinwoo Yoo, Refined Feature-Space Window Attention Vision Transformer for Image Classification, Transactions of the Korean Institute of Electrical Engineers, 2024.
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[2024.05 | SCOPUS]
Kyeonghyeon Kim, Seokjin Hong and Jinwoo Yoo, Accelerated Global-Path Generation Method Based on Lightweight HD-Map Information, Transactions of the Korean Society of Automotive Engineers, 2024.
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[2024.05 | SCOPUS]
Dayeon Yoo, Taeyoung Oh and Jinwoo Yoo, Scenario Format-Conversion and Consistency-Validation Methodology Based on OpenSCENARIO for Autonomous Driving, Transactions of the Korean Society of Automotive Engineers, 2024.
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[2024.04 | SCIE] IEEE Access
FSwin Transformer: Feature-Space Window Attention Vision Transformer for Image Classification
Dayeon Yoo, Jeesu Kim and Jinwoo Yoo
The proposed FSwin Transformer clusters similar tokens based on the feature space and conducts self-attention within the cluster. Thus, this approach helps understand the global context of the image by compensating for interactions between long-distance tokens, which cannot be captured when windows are set based on the image space. In addition, we incorporate a feature-space refinement method with channel and spatial attention to emphasize key parts and suppress non-essential parts. The refined feature map improves the representation power of the model, resulting in improved classification performance.
PDF Link[2024.04 | SCOPUS]
Haeseo Choi, Seungjae Han, Jongwon Jeon, Sumin Ahn and Jinwoo Yoo, Simulation-Based SOTIF Hazard Analysis and Risk Assessment Methodology for Autonomous Driving System, Transactions of the Korean Society of Automotive Engineers, 2024.
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[2024.02 | SCIE] IEEE Transactions on Vehicular Technology
A Novel Lateral Dynamics Control Strategy of In-Wheel Motor Vehicle to Improve Agility and Straight-Line Driving Stability
Sangyeop Lee, Keonchang Kim, Seongjoon Moon, Byongsung Kim, Jaehyun Ahn, Junha Hwang, Donghyun Kim, Seunghoon Woo and Jinwoo Yoo
This paper proposes an integrated yaw-rate control strategy for IWM vehicle based on adaptive sliding mode control (ASMC) to enhance both agility in cornering and stability in straight-line driving situations. Given that 1) internal and external driving conditions such as driving maneuvers, road surfaces, and unwanted external disturbances affect vehicle yaw dynamics and 2) the tire cornering stiffness and understeer gradient are decisive parameters in yaw dynamics, the proposed strategy adapts online to these two parameters. Moreover, the proposed strategy adopts an adaptive update rate during the adaptation process to ensure robust disturbance rejection performance under various driving conditions.
PDF Link[2023.12 | SCIE] Sensors
A Deep Reinforcement Learning Strategy for Surrounding Vehicles-Based Lane-Keeping Control
Jihun Kim, Sanghoon Park, Jeesu Kim and Jinwoo Yoo
As autonomous vehicles (AVs) are advancing to higher levels of autonomy and performance, the associated technologies are becoming increasingly diverse. Lane-keeping systems (LKS), corresponding to a key functionality of AVs, considerably enhance driver convenience. With drivers increasingly relying on autonomous driving technologies, the importance of safety features, such as fail-safe mechanisms in the event of sensor failures, has gained prominence. Therefore, this paper proposes a reinforcement learning (RL) control method for lane-keeping, which uses surrounding object information derived through LiDAR sensors instead of camera sensors for LKS. This approach uses surrounding vehicle and object information as observations for the RL framework to maintain the vehicle’s current lane.
PDF Link[2023.12 | SCOPUS]
Sanghoon Park and Jinwoo Yoo, Improved Generalization Performance of Image-based Reinforcement Learning through Strong Data Augmentation and Contrastive Learning, Transactions of the Korean Society of Automotive Engineers, 2023.
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[2023.10 | SCIE] IEEE Access
PMHA-Net: Positional Multi-Head Attention Network for Point-Cloud Part Segmentation and Classification
Jaeseung Jeon, Seokjin Hong, Hookyung Lee, Jeesu Kim and Jinwoo Yoo
For understanding unordered sets of point clouds, the positional information of each point must be effectively used. So, we process the relative position within a local group by normalizing it within the overall object range and local range according to the data characteristics. This transformation helps maintain the meaning and pattern of the relative position while facilitating its learning. The transformed data are combined with the absolute position to encode the position vector, which serves as the positional encoding in multi-head attention across multiple resolutions.
PDF Link[2023.09 | SCOPUS]
Yeonghyeon Lee and Jinwoo Yoo, Improved Visual SLAM Framework via Deep Learning-based Keypoint/Descriptor and Optical Flow-based Matching, Transactions of the Korean Society of Automotive Engineers, 2023.
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[2023.09 | SCOPUS]
Hookyung Lee, Jae Seung Jeon, Seokjin Hong and Jinwoo Yoo, L-Net: Deep Learning-based Point Cloud Sampling Network through Positional Encoding, Transactions of the Korean Society of Automotive Engineers, 2023.
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[2023.08 | SCOPUS]
Dongsun Lim and Jinwoo Yoo, Improved Mono-SLAM Algorithm Using Depth Estimation and Segmentation Based on Deep Learning, Transactions of the Korean Society of Automotive Engineers, 2023.
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[2023.07 | SCIE]
Seongyi Han, Hyunjun Kye, ChangSeok Kim, TaeKyoung Kim, Jinwoo Yoo and Jeesu Kim, Automated Laser-Fiber Coupling Module for Optical-Resolution Photoacoustic Microscopy, Sensors, 2023.
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[2023.07 | SCIE]
Jinwoo Yoo, BumYong Park, Wonil Lee and JaeWook Shin, A Novel NLMS Algorithm for System Identification, Electronics, 2023.
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[2023.05 | SCIE]
Sanghoon Park, Jihun Kim, Han-You Jeong, Tae-Kyoung Kim and Jinwoo Yoo, C2RL: Convolutional Contrastive Learning for Reinforcement Learning based on Self-Pretraining for Strong Augmentation, Sensors, 2023.
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[2023.05 | SCIE]
Hookyung Lee, Jaeseung Jeon, Seokjin Hong, Jeesu Kim, and Jinwoo Yoo, TransNet: Transformer-Based Point Cloud Sampling Network, Sensors, 2023.
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[2023.03 | SCOPUS]
Yunchul Ha, Taeyoung Oh, Jaeyeon Yoo, Jinwoo Yoo and Seunghoon Woo, Inter-Vehicle Distance Control Strategy for Platooning of Heavy-Duty Vehicles, Transactions of the Korean Society of Automotive Engineers, 2023.
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[2023.01 | SCIE]
Seunghoon Woo, Yunchul Ha, Jinwoo Yoo, Esteve Josa and Donghoon Shin, Chassis Design Target Setting for a High-Performance Car Using a Virtual Prototype, Applied Sciences, 2023.
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2021~2022
[2022.12 | SCIE] Electronics
PG-Based Vehicle-In-the-Loop Simulation for System Development and Consistency Validation
Weonil Son, Yunchul Ha, Taeyoung Oh, Seunghoon Woo, Sungwoo Cho and Jinwoo Yoo
Vehicle-In-the-Loop Simulation utilizes both real vehicles and virtual simulations for the driving environment and is a suitable candidate for ensuring reproducibility. However, there may be differences between the behavior of the vehicle in the VILS and vehicle tests due to the implementation level of the virtual environment. This study proposes a novel VILS system that displays consistency with the vehicle tests. The effectiveness of the proposed VILS system and its consistency with the vehicle test is demonstrated using various verification methods.
PDF Link[2022.09 | SCIE]
Jaewook Shin, Bum Yong Park, Won Il Lee and Jinwoo Yoo, Variable Matrix-Type Step-Size Affine Projection Sign Algorithm for System Identification in the Presence of Impulsive Noise, Symmetry, 2022.
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[2022.05 | SCIE]
Haeni Lee, Seongyi Han, Sinyoung Park, Seonghee Cho, Jinwoo Yoo, Chulhong Kim and Jeesu Kim, Ultrasound-Guided Breath-Compensation in Single-Element Photoacoustic Imaging for Three-Dimensional Whole-Body Images of Mice, Frontiers in Physics, 2022.
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[2022.03 | SCIE]
Jaewook Shin, Jeesu Kim, Tae-Kyoung Kim and Jinwoo Yoo, An Enhanced Affine Projection Algorithm Based on the Adjustment of Input-Vector Number, Entropy, 2022.
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[2022.01 | SCIE]
Jaewook Shin, Bumyong Park, Wonil Lee, Jinwoo yoo and Jaegeol Cho, A novel normalized subband adaptive filter algorithm based on the joint-optimization scheme, IEEE Access, 2022.
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[2021.12 | SCOPUS]
Yoonsuk Choi, Wonwoo Lee and Jinwoo Yoo, A Variable Horizon Model Predictive Control Based on Curvature Properties of Vehicle Driving Path, Transactions of the Korean Society of Automotive Engineers, 2021.
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[2021.10 | SCIE] IEEE Access
Bunch-of-Keys Module for Optimizing a Single Image Detector Based on the Property of Sequential Images
Wonwoo Lee, Yoonsuk Choi, Jeesu Kim and Jinwoo Yoo
In image processing, deep learning networks have been continuously developed and are used in many fields. However, most networks do not reflect image continuity. In this paper, we propose a novel bunch-of-keys module connected to the backend of a deep learning network to improve the detector performance on sequential images. This module optimizes existing deep learning networks to detect sequential images without retraining. This procedure reduces time and computing costs, and the average precision improves with a minimal drop in the frames per second.
PDF Link[2021.10 | SCIE] Sensors
A Variable-Sampling Time Model Predictive Control Algorithm for Improving Path-Tracking Performance of a Vehicle
Yoonsuk Choi, Wonwoo Lee, Jeesu Kim and Jinwoo Yoo
This paper proposes a novel model predictive control (MPC) algorithm that increases the path tracking performance according to the control input. The proposed algorithm reduces the path tracking errors of MPC by updating the sampling time of the next step according to the control inputs (i.e., the lateral velocity and front steering angle) calculated in each step of the MPC algorithm.
PDF Link[2021.10 | SCIE]
Jaewook Shin, Jeesu Kim, Tae-Kyoung Kim and Jinwoo Yoo, ℒp-Norm-like Affine Projection Sign Algorithm for Sparse System to Ensure Robustness against Impulsive Noise, Symmetry, 2021.
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[2021.10 | SCOPUS]
Wonwoo Lee, Yoonsuk Choi and Jinwoo Yoo, An improved deep learning network based on key information using sequential properties of images, Transactions of the Korean Society of Automotive Engineers, 2021.
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2019~2020
[2020.05 | SCOPUS]
Jinwoo Yoo, A Novel Affine Projection Algorithm for Fast Convergence of Sparse System, Transactions of the Korean Institute of Electrical Engineers, 2020.
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[2020.02 | SCOPUS]
Jinwoo Yoo, Bumyong Park and JaeWook Shin, Variable Step-Size P-norm-like Affine Projection Algorithm, Transactions of the Korean Institute of Electrical Engineers, 2020.
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[2019.12 | SCIE]
Jinwoo Yoo, JaeWook Shin and PooGyeon Park, A bias‐compensated proportionate NLMS algorithm with noisy input signals, International Journal of Communication Systems, 2019.
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[2019.07 | SCOPUS]
Jinwoo Yoo, Robust affine projection algorithm in the high power of measurement noises, Transactions of the Korean Institute of Electrical Engineers, 2019.
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[2019.07 | SCOPUS]
Jinwoo Yoo, An Affine Projection Algorithm with Pseudo-Fractional Projection Order, Transactions of the Korean Institute of Electrical Engineers, 2019.
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~2018
[2018.08 | SCIE]
JaeWook Shin, Jinwoo Yoo and PooGyeon Park, Adaptive regularisation for normalised subband adaptive filter: mean-square performance analysis approach, IET Signal Processing, 2018.
[2017.05 | SCIE]
Jinwoo Yoo, JaeWook Shin, Insun Song and PooGyeon Park, A robust affine projection sign algorithm against the high power of measurement noises, International Journal of Communication Systems, 2017.
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[2017.05 | SCIE]
JaeWook Shin, Jinwoo Yoo and PooGyeon Park, Steady‐state mean‐square deviation analysis of the sign subband adaptive filter, Electronics Letters, 2017.
[2016.03 | SCIE]
Jinwoo Yoo, Insun Song, JaeWook Shin and PooGyeon Park, A variable step‐size diffusion affine projection algorithm. International Journal of Communication Systems, 2016.
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[2015.07 | SCIE]
Jinwoo Yoo, JaeWook Shin, and PooGyeon Park, Variable step-size sign algorithm against impulsive noises. IET Signal Processing, 2015.
[2015.03 | SCIE]
Jinwoo Yoo, JaeWook Shin and PooGyeon Park, An improved NLMS algorithm in sparse systems against noisy input signals. IEEE Transactions on Circuits and Systems II: Express Briefs, 2015.
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[2014.11 | SCIE]
Jinwoo Yoo, JaeWook Shin and PooGyeon Park, A band-dependent variable step-size sign subband adaptive filter. Signal processing, 2014.
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[2014.04 | SCIE]
Jinwoo Yoo, JaeWook Shin and PooGyeon Park, Variable step-size affine projection sign algorithm. IEEE Transactions on Circuits and Systems II: Express Briefs, 2014.
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[2013.04 | SCIE]
Byunghoon Kang, Jinwoo Yoo and PooGyeon Park, Bias-compensated normalised LMS algorithm with noisy input. Electronics Letters, 2013.
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[2013.02 | SCIE]
JaeWook Shin, Jinwoo Yoo and PooGyeon Park, Variable step-size sign subband adaptive filter, IEEE Signal processing letters, 2013.
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[2012.07 | SCIE]
Jinwoo Yoo, JaeWook Shin, Hyuntaek Choi and PooGyeon Park, Improved affine projection sign algorithm for sparse system identification, Electronics letters, 2012.
[2012.04 | SCIE]
Jinwoo Yoo, JaeWook Shin and PooGyeon Park, Variable step-size affine projection sign algorithm, IEEE Transactions on Circuits and Systems II: Express Briefs, 2012.
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[2011.10 | SCIE]
Namwoong Kong, Jinwoo Yoo, Jongseok Lee, Sungwook Yun, Jin-sue Bae and PooGyeon Park, Vision-based camber measurement system in the endless hot rolling process, Optical Engineering, 2011.
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