Portfolio
Featured Projects
기간: 2025.01 - Present
스택: C++, Python, ROS, React
Developed a platform that allows internal developers to simulate autonomous driving logic via a web app,
enabling them to edit and run scenarios and view results.
enabling them to edit and run scenarios and view results.
Key Contributions:
- Integrated esmini (an OpenScenario-based simulator) with autonomous driving logic
- Implemented a proprietary scenario format and scenario editor
- Developed a web app for running simulations and reviewing results
Developed a web app for writing guestbook entries and crowdfunding.
Integrated bank account linkage to view funding status in real-time.
Integrated bank account linkage to view funding status in real-time.
Key Contributions:
- Implemented guestbook and funding pages using Flutter
- Built databases for guestbook entries, funding items, and donors using Supabase
- Built a server that updates the database in real-time when deposits are made to the account linked to funding items
기간: 2023.01 - 2024.07
스택: C++, ROS, LiDAR
Extracted LiDAR features based on intensity and geometric shapes to build maps,
and improved localization by extracting the same feature types from scans and performing feature-based map matching.
and improved localization by extracting the same feature types from scans and performing feature-based map matching.
Key Contributions:
- Developed algorithms to extract road markers, pillars, and facades from constructed point cloud maps
- Developed algorithms to extract road markers, pillars, and facades from scans in real-time
- Developed a map-matching module based on LiDAR feature maps
Running Autoware Logic on Embedded Boards
Graduate Research
기간: 2023.01 - 2024.01
스택: C++, ROS, Autoware
Set up the open-source autonomous driving software Autoware to run on embedded boards such as Nvidia TX2 and Xavier.
Verified Autoware logic on SVL simulator, a small car, and real vehicles.
Verified Autoware logic on SVL simulator, a small car, and real vehicles.
Key Contributions:
- Interfaced Velodyne LiDAR with Nvidia TX2 and Xavier boards
- Analyzed Autoware logic and created required maps and execution scripts
- Verified autonomous driving logic on SVL simulator, a miniature car, and a real vehicle
- Participated in the 2021 Hyundai Autonomous Driving Challenge based on this experience
RideFlux
Linked attendance data entered in the attendance management platform “flex” to Slack emojis
so team members can check attendance via Slack.
so team members can check attendance via Slack.
기간: 2024.08 - 2024.12 (maintenance ongoing)
스택: C++, Python, Waymax, NAS
Built a data collection pipeline that converts vehicle logging data stored on NAS into the WOMD format and collects it for use in training.
기간: 2023.12 - 2024.08
스택: C++, ROS, Carmaker
Integrated in-house autonomous driving logic with the Carmaker simulator to enable testing of planning logic.
Configured CI so that when a PR targets a specific branch, regression tests run automatically on predefined scenarios.
Configured CI so that when a PR targets a specific branch, regression tests run automatically on predefined scenarios.
Implemented a ROS node interface to enable sending and receiving data with the radar over ROS topics.
Personal Project
Implemented a bot that searches for flights within a desired price range and sends notifications via KakaoTalk.
Undergrad/Graduate
Implemented a vision-based lane keeping module and verified it using the SVL simulator and a miniature car.
Project for the graduate course “Information Visualization and Visual Analytics.”
Visualized a community graph representing associations among AI research labs.
Visualized a community graph representing associations among AI research labs.
Project for the undergraduate course “Principles and Practice of Software Development.”
Implemented a community service for clubs and groups.
Implemented a community service for clubs and groups.