International Journal

In Progress

• Tentacle-guided Constrained Optimization for Obstacle Avoidance Path Planning of Autonomous Vehicles in Urban Environments

• Path Planning of Autonomous Tractor-Trailer Vehicle in Constrained Environment Considering Hitch Angle Uncertainty

• Safe and Smooth Autonomous Driving via Neural Network-based Path Planning and Constrained Optimization for Obstacle Avoidance

• Social Interaction-Aware Motion Prediction of Surrounding Vehicles based on Edge-Pruned Graph Convolutional Network for Autonomous Vehicles

• (Accepted) Lim, Y., Yoon, Y., Byun, J., Kim, S., & Kim, HJ. (2025). Reachable-Set-based Trajectory Sampling for Local Planning of Autonomous Vehicles. IEEE Access

2025

Before CAU (~2025)

• Yoon, Y., & Jo, A*. (2025). Obstacle Avoidance Planning for Autonomous Vehicles Based on Neural Network-centric Path Sampling. International Journal of Control, Automation and Systems, 23(1), 126-136.

• Yoon, Y., & Jo, A*. (2025). Path Planning based on Combination of Sampling and Learning-from-Demonstration for Static Obstacle Avoidance of Autonomous Vehicles. IEEE Access.

• Yoon, Y.*, Kim, C., Lee, H., Seo, D., & Yi, K. (2024). Spatio-Temporal Corridor-Based Motion Planning of Lane Change Maneuver for Autonomous Driving in Multi-Vehicle Traffic. IEEE Transactions on Intelligent Transportation Systems.

• Yoon, Y.*, & Lee, J. (2024). Lane change path planning using sweeping region for full-sized autonomous driving bus in urban environment. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 09544070241296910.

• Jo, A., & Yoon, Y.* (2024). Enhancing ride comfort and driving safety in urban autonomous buses: A data-driven hierarchical longitudinal motion planning using approximate and stochastic MPCs. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 09544070241296176.

• Kim, C., Yoon, Y., Kim, S., Yoo, M. J., & Yi, K.* (2023). Trajectory Planning and Control of Autonomous Vehicles for Static Vehicle Avoidance in Dynamic Traffic Environments. IEEE Access.

• Yoon, Y. *, & Yi, K. (2022). Trajectory Prediction Using Graph-Based Deep Learning for Longitudinal Control of Autonomous Vehicles: A Proactive Approach for Autonomous Driving in Urban Dynamic Traffic Environments. IEEE Vehicular Technology Magazine, 17(4), 18-27.

• Lee, J., Oh, K., Yoon, Y., Song, T., Lee, T., & Yi, K.* (2022). Adaptive fault detection and emergency control of autonomous vehicles for fail-safe systems using a sliding mode approach. IEEE Access, 10, 27863-27880.

• Lee, J., Oh, K., Oh, S., Yoon, Y., Kim, S., Song, T., & Yi, K.* (2022). Emergency Pull-Over Algorithm for Level 4 Autonomous Vehicles Based on Model-Free Adaptive Feedback Control With Sensitivity and Learning Approaches. IEEE Access, 10, 27014-27030.

• Yoon, Y., Kim, C., Lee, J., & Yi, K.* (2021). Interaction-aware probabilistic trajectory prediction of cut-in vehicles using Gaussian process for proactive control of autonomous vehicles. IEEE Access, 9, 63440-63455.