most citedHierarchical Motion Planning and Offline Robust Model Predictive Control for Autonomous Vehicles

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY20241 cited

KPCA for Thrust Vectoring Systems Exhibiting Singular Points

Tam W. Nguyen, Kyoungseok Han, Kenji Hirata

This paper considers a class of thrust vectoring systems, which are nonlinear, overactuated, and time-invariant. We assume that the system is composed of two subsystems and there e…

cs.RO2024

Interaction-Aware Vehicle Motion Planning with Collision Avoidance Constraints in Highway Traffic

Dongryul Kim, Hyeonjeong Kim, Kyoungseok Han

This paper proposes collision-free optimal trajectory planning for autonomous vehicles in highway traffic, where vehicles need to deal with the interaction among each other. To add…

eess.SY2024

Hierarchical Climate Control Strategy for Electric Vehicles with Door-Opening Consideration

Sanghyeon Nam, Hyejin Lee, Youngki Kim +2

This study proposes a novel climate control strategy for electric vehicles (EVs) by addressing door-opening interruptions, an overlooked aspect in EV thermal management. We create…

cs.RO2024

Competition-Aware Decision-Making Approach for Mobile Robots in Racing Scenarios

Kyoungtae Ji, Sangjae Bae, Nan Li +1

This paper presents a game-theoretic strategy for racing, where the autonomous ego agent seeks to block a racing opponent that aims to overtake the ego agent. After a library of tr…

eess.SY2024

Deep Neural Network NMPC for Computationally Tractable Optimal Power Management of Hybrid Electric Vehicle

Suyong Park, Duc Giap Nguyen, Jinrak Park +3

This study presents a method for deep neural network nonlinear model predictive control (DNN-MPC) to reduce computational complexity, and we show its practical utility through its…

cs.RO20241 cited

Hierarchical Motion Planning and Offline Robust Model Predictive Control for Autonomous Vehicles

Hung Duy Nguyen, Minh Nhat Vu, Nguyen Ngoc Nam +1

Driving vehicles in complex scenarios under harsh conditions is the biggest challenge for autonomous vehicles (AVs). To address this issue, we propose hierarchical motion planning…