Research
AI-Based Motion Planning and Control Development for Improved ADAS Performance with Kinodynamic Considerations
Funding Organization: Hyundai Motor Company
Project Duration: March 2024 – Present
Develop an algorithm to derive semantic parking strategies using AI
Create an optimal path-planning algorithm based on semantic parking strategies
Development of Environmental Perception Technology for Vehicle Surroundings
Funding Organization: HDX
Project Duration: April 2023 – Present
Research on Estimating Surrounding 3D Spatial Information for Construction Equipment
Research on Determining Drivable Areas and 3D Object Recognition for Construction Equipment
Research on Simultaneous Localization and Mapping (SLAM) in Construction Sites
Development of Multi-Modal Sensor-Based Emotion/Intent Recognition and Expression Algorithms for Metaverse
Funding Organization: National Research Foundation of Korea
Project Duration: June 2022 – Present
Research on Facial Expression Analysis and Pose Estimation Algorithms for Metaverse Environments
Research on Emotion/Intent Recognition Algorithms Considering User Responses Based on Voice, Video, and Biometric Data in VR Environments
Infrastructure Information Fusion and Management for Real-Time Traffic Safety Operations
Funding Organization: Korea National Police Agency
Project Duration: April 2021 – Present
Develop a system that receives real-time safety information for passive and active traffic safety facilities from road infrastructure, operates and manages this information, and effectively provides it to both autonomous and conventional vehicles to enhance traffic safety.
Establish a simulator and real-world environment for validating high-precision maps and V2X integration technologies.
Development of an AI-Based Control Model for Enhancing Driving Performance of High-Performance Electric Vehicles Equipped with Electric Torque Vectoring Devices
Funding Organization: Hyundai Motor Company
Project Duration: April 2023 – March 2024
Derivation of factors affecting torque vectoring performance
Development of torque vectoring cornering strategies based on AI prediction models for specific manufacturers and vehicle types
Implementation of cornering strategies derived from AI control models in vehicles equipped with electric torque vectoring
Development of Optimized Mobility Path Planning Algorithms Considering Driving Environments Using Artificial Intelligence
Funding Organization: Hyundai Motor Company
Project Duration: April 2023 – March 2024
Development of a Path Planning Algorithm Based on Deep Reinforcement Learning
Establishment of a Sensor Fusion Methodology for State Abstraction
Development of Model-Based AI Algorithms and Embedded Technologies for Optimizing Driving Performance of Integrated xEV Motion
Funding Organization: Hyundai Motor Company
Project Duration: March 2023 – December 2023
Development of an AI Algorithm for High-Precision Vehicle Motion Parameter Estimation Based on Vehicle Dynamics Knowledge
Development of Embedded Technologies for AI Algorithms and On-Board Real-Time Validation Scenarios
Development of Deep Reinforcement Learning Technology for Automatic Mapping of Disconnectors for Electric Vehicles
Funding Organization: Hyundai Motor Company
Project Duration: March 2023 – September 2023
Development of an Automatic Mapping Algorithm for Disconnector Actuator Systems (DAS) Based on Deep Reinforcement Learning
Establishment of an Interaction and Learning Process Between Real-World Test Cells and the Deep Reinforcement Learning Model (AI)
Development of a Sound Solution Utilizing Artificial Intelligence and Big Data to Enhance Immersion in VR Technology
Funding Organization: Hyundai Motor Company
Project Duration: September 2022 – August 2023
Research on Deep Learning-Based Image-Sound Substitution Technology
Research on Implementing Spatial Audio Through Human-Vehicle Interaction in Virtual Reality Environments
Development of Performance Prediction Technology Using Machine Learning to Enhance the Performance of Electric Vehicle Transmissions
Funding Organization: Hyundai Motor Company
Project Duration: April 2022 – November 2022
Research on Improving Control Performance Through Hydraulic Prediction of Electric Vehicle Transmissions Based on Machine Learning
Research on the Application of AI Technologies in the Design Field
AI-Based Next-Generation E-VMC Control Research for Enhancing xEV Driving Performance
Funding Organization: Hyundai Motor Company
Project Duration: February 2022 – November 2022
Development of a Reinforcement Learning-Based Algorithm for Determining Control Quantities of xEV Drive Motors to Enhance Cornering Performance
Development of an Algorithm for Determining Optimal Control Quantities for Individual Drivers Through AI Imitation Learning
Development of a Deep Learning-Based Optimization Model for MDPS Position Controllers and HOD Models
Funding Organization: Hyundai Mobis
Project Duration: September 2021 – August 2022
Optimization of MDPS Position Controllers Based on Deep Learning
Development of a Deep Learning-Based Hands-On/Off Detection Model
Implementation of SSC (Start-Stop Coasting) Predictive Control Logic for Improving Fuel Efficiency and Driving Performance in Clutch-Driven Vehicles
Funding Organization: Hyundai Motor Company
Project Duration: March 2020 – June 2022
Improvement of Fuel Efficiency and Driving Performance Through Driver Intent Prediction in Clutch-Driven Vehicles
Development of Lightweight Deep Learning Network Techniques for Real-World Vehicle Implementation
Development of Driver Models and Automated Learning Algorithms for Enhancing Testing Efficiency of Virtual and Robot Drivers
Funding Organization: Hyundai Motor Company
Project Duration: March 2020 – April 2022
Implementation of a Virtual Driver that Follows Speed Profiles Through Artificial Neural Network Learning, Alongside the Development of a Model for Detecting Anomalous Signals During Gear Shifts
Development of a Deep Learning-Based Short-Term Prediction Model for Link Passage Time in Continuous Flow Traffic
Funding Organization: Hyundai AutoEver
Project Duration: June 2021 – November 2021
Development of a Model for Predicting Link Passage Time for the Next Hour by Applying Deep Learning Techniques to Nationwide Continuous Flow Traffic Data
Establishment of a Web Server for Sending and Receiving Sensor Data and Algorithm Outputs, and Development of a Safe Driving Application
Development of Intelligent Driving Modes Considering Driver Characteristics and Emotions Based on AI and Connectivity Technologies for Future Mobility
Funding Organization: Hyundai Motor Company
Project Duration: March 2020 – November 2021
Development of AI-Based Techniques for Learning Driver Emotions and Driving Preferences Utilizing Vehicle Data, Driver Facial Images, Biometric Data, and Connectivity Data
Development of Intelligent Driving Modes Reflecting Driver Emotions and Driving Preferences During Driving
Development of a Self-Learning Autonomous Driving AI Computing Module Based on Global Industrial Standards
Funding Organization: Ministry of Trade, Industry and Energy
Project Duration: April 2019 – December 2021
Development of an Algorithm for Assessing Road Situation Risk Considering Interactions with Surrounding Vehicles and Validation of the Algorithm Using Vehicle and Traffic Simulators
Development of a Simulator and Real-World Environment for Verifying High-Precision Maps and V2X Integration Technologies
Development of an Advanced Safety Driving System and Service Integrating Vehicle ICT for Long-Distance Drivers' Safe Driving
Funding Agency: Ministry of Trade, Industry and Energy
Duration: May 2019 – December 2021
Analysis of long-distance drivers' personal habits and development of an LSTM-based risk prediction algorithm
Establishment of a web server for the transmission of sensor data and algorithm outputs, along with the development of a safe driving application
Development of a Road Condition Assessment System Based on CAN Data
Funding Agency: Korea Expressway Corporation
Duration: April 2019 - July 2021
Development of a deep learning model-based system to generate reliable road condition assessment information using vehicle CAN data.
Real-time provision of road condition assessment information through platforms such as WebGIS.
Development of an Eco-Friendly Autonomous Driving Speed Optimization Program Utilizing Machine Learning
Funding Agency: Hyundai Motor Company
Duration: March 2020 – March 2021
Developed a deep learning model for optimizing fuel-efficient speed profiles.
Achieved fuel savings compared to constant speed cruise control and improved time efficiency compared to dynamic programming.
Development of Parallel Algorithm A* Using GPU
Funding Agency: Hyundai Autoever
Duration: October 2020 – March 2021
Parallelization of Algorithm A*
Development and implementation of an algorithm for parallel pathfinding using GPU
Development of Deep Learning-Based Future Surrounding Situation Prediction and Risk Assessment Technology Considering Vehicle Interaction During Cut-In Maneuvers
Funding Agency: Ministry of Trade, Industry and Energy
Project Duration: 2017.06 ~ 2020.12
Development of technology for predicting cut-in scenarios of vehicles surrounding autonomous vehicles and assessing associated risks.
Improvement of ETA Prediction Using AI
Funding Agency: Hyundai MNSoft (currently Hyundai AutoEver)
Project Duration: March 2019 – September 2019
Prediction of ETA (Estimated Travel Time) using temporal and spatial traffic elements and characteristic features.
Development of an algorithm utilizing Geo-Conv Layer and LSTM (Long Short Term Memory).
