KAIST AXE Lab | 자동차 지능 및 전동화 연구실

Publication Automotive Intelligence X Electrification Lab

Total 61건 1 페이지

2026
61

"Synthesis of a Link-Level Energy-Time Predictor Toward the Implementation of a Link-based Predictive EMS" Geunyoung Park, Kyunghwan Choi, Dongsuk Kum, IEEE Access, published, 2026
60

"High-fidelity modeling of the Toyota Mirai FCEV thermal management system: a step toward real-vehicle thermal behavior" Geunyoung Park, Sangmuk Kang, Heedae Lee, Joongmyeon Bae, Kyungsub Sung, and Dongsuk Kum, Energy Conversion and Management, 2026
59

"Reaction-Uncertainty-Aware Motion Planning for Interactive Driving via Conditional Multi-modal Motion Prediction" Hanbin Jang, Joonhee Lim, Abi Rahman Syamil, Dongsuk Kum, IEEE Access, published, 2026 LINK
58

"Continual Reinforcement Learning Framework for Scalable Collision Avoidance and Mitigation System with Packing Strategy" Joonhee Lim, Yongjae Lee, Jangho Shin, Dongsuk Kum, IEEE Robotics and Automation Letters, published, 2026 LINK
57

"Physics-informed neural networks for estimating flooding in a three-dimensional proton exchange membrane fuel cell" Sangmuk Kang, Geunyoung Park, Dongsuk Kum, International Journal of Heat and Mass Transfer, accepted, 2026
56

"Class-Distribution Guided Active Learning for 3D Occupancy Prediction in Autonomous Driving" Wonjune Kim, In-Jae Lee, Sihwan Hwang, Sanmin Kim, and Dongsuk Kum, IEEE Robotics and Automation Letters, published, 2026 LINK
55

"NPPC: Neural Parametric Planning Cost for End-to-end Autonomous Driving" Abi Rahman Syamil, Joonhee Lim and Dongsuk Kum, IEEE Robotics and Automation Letters, published, 2026 LINK
2025
54

"Learning Homotopy Prediction for Optimization-Based Trajectory Planners for Autonomous Driving" Abi Rahman Syamil and Dongsuk Kum, International Journal of Automotive Technology, published, 2025 LINK
53

"Development of a real-time link-based predictive energy management strategy for extending FCEV lifespan using an experiment-driven degradation model" Geunyoung Park, Kyunghwan Choi, Minjun Kim, Eunae Cho, Kyungsub Sung and Dongsuk Kum, Elsevier Applied Energy, published, 2025 LINK
52

"InstaGraM: Instance-level Graph Modelingfor Vectorized HD Map Learning" Juyeb Shin, Hyeonjun Jeong, Francois Rameau, and Dongsuk Kum, IEEE Transactions on Intelligent Transportation Systems, published, 2025 LINK
2024
51

"Multi-Modal Place Recognition via Vectorized HD Maps and Images Fusion for Autonomous Driving" Hyeonjun Jeong, Juyeb Shin, Francois Rameau, and Dongsuk Kum, IEEE Robotics and Automation Letters, published, 2024 LINK
50

"A Comparative Study on Optimal Engine-Start Performance of Parallel Hybrid Electric Vehicles with Various Starter Motors" Jaeyoon Kim, Kijong Park, Dongwoo Kim, and Dongsuk Kum, IEEE Access, published, 2024 LINK
49

"Predictive Control of a Dog-clutch Transmission via a Transformer-based Velocity Prediction" Geunyoung Park, Kyunghwan Choi, and Dongsuk Kum, IEEE Transactions on Vehicular Technology, published, 2024 LINK
48

"An Analytical Approach to the Predictive Energy Management of Connected HEVs: What Information Do We Need to Guarantee Global Optimality?" Kyunghwan Choi, Geunyoung Park, and Dongsuk Kum, IEEE Transactions on Intelligent Transportation Systems, published, 2024 LINK
2023
47

"Designing a Super-fast Prius: Systematic Design of Multi-speed eCVT via Virtual Design Space" Toumadher Barhoumi and Dongsuk Kum, IEEE Transactions on Transportation Electrification, published, 2023 LINK

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