Jisang Yun
Student of Automotive Engineering
📱 +821072843334
📧 jsyun0203@hanyang.ac.kr
📍 Seoul, South Korea
Links:
🌐 The Journey of BABO (Blog) | 💼 LinkedIn | 📷 Instagram | 🎥 YouTube
About Me
Automotive engineering student specializing in autonomous driving systems and embedded software development. Experienced in ROS2, C++, and Rust for building robust vehicle systems. Passionate about advancing mobility through AI-driven solutions and cutting-edge automotive technologies.
Professional Experience
Research Intern | AI Lab (Automotive Intelligence Laboratory, Hanyang University)
Dec 2024 – Present
- Developing autonomous vehicle systems focusing on sensor integration, software architecture, and AI-based perception algorithms
- Building 1/10th scale autonomous racing vehicle using ROS2, C++, and Rust for End-to-End autonomous driving research
- Collaborating on real-time object detection and tracking algorithms for dynamic environments
Founder & Leader | Student Automotive Software Group | MiRu
Sep 2023 – Present
- Founded student-led organization focused on automotive software development, successfully recruiting and mentoring 40+ students
- Organizing workshops on modern automotive software architectures, embedded systems, and communication protocols
- Facilitating collaborative projects with industry partners for practical automotive software solutions
Working Holiday | Australia
2022 – 2023
- Gained international experience through diverse roles including restaurant service, warehouse forklift operations, and theme park assistance
- Completed 3-month road trip through Outback desert, demonstrating resilience and adaptability in challenging environments
- Developed cultural adaptability and problem-solving skills through independent travel and work across multiple Australian cities
Operations Situation Specialist | Republic of Korea Army
2020 – 2021
- Provided operational support to commanding officers and monitored tactical situations
- Coordinated mission plans and managed unexpected operational challenges
Education
B.S. in Automotive Engineering | Hanyang University
2019 – Present (Expected 2026) | Seoul, South Korea
- Integrated curriculum combining Mechanical, Electrical, and Software Engineering for automotive systems
- Relevant coursework: Vehicle Dynamics, Embedded Systems, Control Theory, Machine Learning for Autonomous Vehicles, Sensor Fusion
- Active participation in autonomous vehicle competitions and automotive software development projects
Embedded Systems & Artificial Intelligence | MCI The Entrepreneurial School
February 2024 | Innsbruck, Austria
- Intensive program covering ATmega328p microcontroller programming and AI applications in embedded systems
- Hands-on experience with sensor integration and real-time processing systems
International Business Development | EM Normandie Business School
Jun – Aug 2023 | Le Havre & Paris, France
- Business simulation program focusing on strategic management and international operations
- Enhanced project management and entrepreneurial thinking capabilities
Spanish Language & Mexican Culture | Tecnológico de Monterrey
January 2020 | Various Cities, Mexico
Cultural immersion program with Spanish language training
Gwangju Science Academy For The Gifted
2016 – 2019 | Gwangju, South Korea
- Specialized STEM education focusing on Physics, Chemistry, Computer Science, Biology, and Earth Science
- President of Entrepreneurship Club ICARUS, leading innovation and business development initiatives
Awards and Honors
Excellence Award | 2024 University Joint Autonomous Driving Competition
July 2024 | National Competition
- Recognized among 7 participating universities for outstanding research methodology and practical application
- Award presented by the Mayor of Busan Metropolitan City
Research & Publications
Autonomous Driving Architecture Using SLAM and Machine Learning with LiDAR
Mar 2025 – Dec 2025 | Hanyang University Capstone Design
Objective: Development of hybrid autonomous driving system combining traditional SLAM with machine learning for enhanced navigation performance
Technical Approach:
- Perception: 3D LiDAR SLAM with scan-matcher frontend and graph-based backend
- Planning: Hybrid framework integrating global path planning with RL-based local planning (PPO, Imitation Learning)
- Control: Pure pursuit controller with optimized trajectory following
Key Contributions: Novel integration of classical SLAM techniques with modern ML approaches for robust autonomous navigation
Technologies: ROS2, C++, PCL, TensorFlow, 3D LiDAR, F1Tenth platform
Supervised by Prof. Gichun Cho, Research collaboration with Mingi Ju
Projects
Embedded Rover | TARS
Mar 2025 – Aug 2025 | Academic Project (Team Leader)
Achievement: Led 3-member team to develop autonomous driving rover using Agile Scrum methodology
Tech Stack: Nvidia Jetson Orin Nano, Python, YOLO v11s-seg/v11m, OpenCV, Pure Pursuit Control
Innovation: Developed efficient dataset extraction algorithm reducing 5,000 frames to 400 optimal samples using K-Means clustering and scene change detection
System Architecture: Implemented modular perception-planning-control pipeline with lane segmentation, object detection, and dynamic obstacle avoidance
Problem Solving: Overcame critical hardware failures (motor/camera malfunctions) through systematic debugging and component replacement
F1Tenth Autonomous Racing Platform | MiRu Project
Dec 2024 – Nov 2025 | Competition & Organization Project
Achievement: Designed and built F1Tenth racing platform from scratch, scaling from 1 to 3 operational vehicles for MiRu organization
Hardware Design: Custom-designed platform boards using CAD, manufactured via laser cutting, and integrated essential hardware components
Tech Stack: ROS2, C++, Rust, 2D/3D LiDAR SLAM, Pure Pursuit Controller, Custom Vehicle Design
Fleet Management: Successfully deployed 3-vehicle fleet (2 with 2D LiDAR, 1 with 3D LiDAR) enabling large-scale autonomous racing research
Strategic Impact: Transformed long-term vision into reality, establishing foundation for large-scale project planning and execution within MiRu
Autonomous Personal Training Robot System
Oct 2024 – Sep 2025 | Industry Collaboration with SOSLAB
Goal: Mobile robot with 3D LiDAR for intelligent fitness coaching and adaptive running pace guidance
Tech Stack: SOSLAB ML-X LiDAR, ROS2, C++, Rust, SLAM, Motion Tracking, Path Planning
Focus: Sensor fusion for simultaneous user tracking, autonomous following, and personalised exercise feedback
Autonomous Vehicle Software | Team 5
Sep – Dec 2024 | Academic Project (Team Leader)
Achievement: Led 3-member team developing comprehensive autonomous driving system using V-Model methodology
Tech Stack: ROS2, C++, Custom Message Protocols, Pure Pursuit Control, Hybrid A* Algorithm
System Design: Implemented modular perception-planning-control architecture with rigorous verification at each stage
Advanced Features: Smart Cruise Control, lane merging with gap analysis, autonomous parking with corner detection, adaptive speed control for road conditions (uphill/downhill/ice/kids zone)
Innovation: Developed physics-based optimal speed calculation considering vehicle dynamics and environmental factors
Project Monguard | Interactive Robot
Mar – Jun 2024 | Academic Project
Achievement: Interactive robot with emotion display system
Tech Stack: ATmega328p, C, LCD display, Bluetooth HC-05, ultrasonic sensors, servo motors
Features: Real-time emotion visualization, custom Bluetooth controller
Automata WaveMaker
Sep – Dec 2023 | 3D Design & Manufacturing Project
- Designed complex mechanical system using CATIA with precision kinematics for wave-generating motion
- Applied engineering optimization principles for structural efficiency and motion accuracy
Hangul Clock
Sep – Dec 2019 | Digital Logic Design Project
- Digital clock system using logic circuits (AND, OR, XOR gates) with carry bit implementation
- Korean character display system using 6×6 LED grid with modular component design
Technical Skills
- Programming: C/C++, Rust, Python, MATLAB
- Robotics & AI: ROS2, SLAM, Machine Learning, Computer Vision, Sensor Fusion
- Embedded Systems: ATmega328p, Nvidia Jetson, Real-time processing, Hardware integration
- Design & Simulation: CATIA, Onshape, CarSim, 3D modeling and simulation
- Development Tools: Git, Linux, Docker, Agile/Scrum methodology
Languages
- Korean: Native
- English: Fluent (Professional working proficiency)
- German: Basic (Currently learning)
- Spanish, French: Basic conversational
Interests
- 🔧 Rust Programming — Exploring memory-safe systems programming for automotive applications
- ✈️ International Travel — Cultural exploration across multiple continents (Australia, Europe, Asia, North America)
- 💼 Entrepreneurship — Developing innovative solutions for sustainable mobility and automotive technology
- 🏃 Fitness — Daily running routine for maintaining physical and mental well-being