|
- Eunhyek Joa - Google 학술 검색
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of …
- Eunhyek Joa | IEEE Xplore Author Details
Eunhyek Joa received the B S degree in mechanical and aerospace engineering from Seoul National University, Seoul, Korea, in 2014, where he is currently working toward the M S degree in mechanical and aerospace engineering
- Eunhyek Joas research works | University of California, Berkeley, CA . . .
This paper presents a novel energy-efficient motion planning algorithm for Connected Autonomous Vehicles (CAVs) on urban roads The approach consists of two components: a decision-making algorithm
- [2402. 01059] Eco-driving under localization uncertainty for connected . . .
View a PDF of the paper titled Eco-driving under localization uncertainty for connected vehicles on Urban roads: Data-driven approach and Experiment verification, by Eunhyek Joa and 2 other authors
- Eunhyek Joa - Google Scholar
PhD Candidate at UC Berkeley - Cited by 367 - Controls - Learning - Autonomy - Vehicle dynamics
- Eunhyek Joa - Profile - SAE International
This paper presents an integrated control of in-wheel motor (IWM) and electronic limited slip differential (eLSD) to enhance the vehicle lateral stability and maneuverability The two actuators are utilized in the proposed controller to achieve separate purposes The IWM controller is designed to modify the understeer gradient for enhanced handling characteristic and maneuverability The eLSD
- Energy-efficient Motion Planning and Control for Connected, Automated . . .
Author (s): Joa, Eunhyek | Advisor (s): Borrelli, Francesco | Abstract: As the demand for sustainable transportation solutions continues to rise, Connected Automated Vehicles (CAVs) present a promising opportunity to reduce energy consumption and environmental impact significantly
- Eunhyek Joa | DeepAI
Read Eunhyek Joa's latest research, browse their coauthor's research, and play around with their algorithms
|
|
|