location Seoul, South Korea status open to research collaborations
Sumin Lee

Sumin Lee

Computer Vision & Autonomous Driving Researcher

Teaching machines to see, and to drive.

Intelligent Robotics & Computer Vision Lab · Hanyang University

I’m a Master’s researcher at the Intelligent Robotics & Computer Vision Lab, Hanyang University, working on vision-centric autonomous driving.

My current research focuses on Gaussian Splatting for autonomous driving and Online Mapping, asking how modern 3D scene representations can reshape the next generation of perception and planning.

research interests Gaussian Splatting for Autonomous Driving BEV Perception 3D Scene Representation End-to-End Driving Multi-modal Perception
01

Demo

3D Gaussian Splatting
drag · zoom · explore
02

News

  • 2026·09 accepted ReSMap got into NeurIPS 2026 🎉 Co-first author on online HD map construction with satellite priors
  • 2025·06 award 3rd place at the Waymo Open Dataset Challenge: Vision-based End-to-End Driving (CVPR 2025)
  • 2025·03 milestone Began MS at Hanyang University, Dept. of Automotive Engineering
03

Publications

NeurIPS 2026 2026

ReSMap: Recasting Satellite Priors for Robust and Accurate Online HD Map Construction

Kyungmin Kim*, Sumin Lee*, Sungoh Jeong, Dohyun Lim, Seonghyun Park, Soonmin Hwang†

Online HD Mapping · Satellite Priors

Co-first Author accepted

equal contribution · † corresponding author

04

Selected Projects

Swin-Trajectory 3rd Place

Swin-Trajectory

Vision-based End-to-End Driving · Waymo Open Dataset Challenge (CVPR 2025)

A minimalist transformer-based waypoint planner that takes a single front-facing camera and structured ego-vehicle history as input. A lightweight Swin Transformer backbone cross-attends to dynamic waypoint queries to efficiently regress future trajectories, competitive with much heavier multi-sensor baselines.

Deep thanks to my teammates, my supervisor, and RideFlux for technical support and collaboration.

E2E Autonomous DrivingVision-based Planning
Autonomous Valet Parking System Top 3 / 30 · Solo Award

Autonomous Valet Parking System

Capstone Design Project · full-stack autonomy

End-to-end Perception → Planning → Control pipeline for a self-parking vehicle, built solo. Integrated BEV-based perception, motion planning, and an adaptive pure-pursuit controller into a single coherent system. The cornerstone of my academic path into autonomy.

Valet ParkingSemantic SegmentationRGB-D CalibrationAdaptive Pure-pursuit
05

Experience

  1. 2025·03 – Present

    MS Researcher

    Intelligent Robotics & Computer Vision Lab, Hanyang University

    • Researching Gaussian Splatting for autonomous driving and Online Mapping
    • Co-first-author paper accepted at NeurIPS 2026 (ReSMap)
  2. 2023·09 – 2025·02

    Undergraduate Researcher

    Intelligent Robotics & Computer Vision Lab, Hanyang University

    • Started with path planning, expanded into multi-sensor perception (camera–LiDAR)
    • Pivoted toward vision-centric end-to-end planning
06

Education

2019·03 – 2022·02

Inha University

Naval Architecture & Ocean Engineering → Mechanical Engineering (transferred)

Foundational engineering studies across two majors.

2022·03 – 2025·02

Hanyang University

BS · Dept. of Automotive Engineering

gpa 4.03 / 4.5

Joined IRCV Lab as an undergraduate researcher in Sep 2023.

2025·03 – Present

Hanyang University

MS · Dept. of Automotive Engineering

gpa 4.33 / 4.5

Researching Gaussian Splatting & Online Mapping at IRCV Lab.

06

Stack

languages

Python
CUDA
C++
C

frameworks

PyTorch
ROS
OpenCV
Open3D

systems

Linux
Docker
CMake
Git
07

Contact

Let's build the next frontier of autonomy together.

Open to research collaborations, internships and discussions on Gaussian Splatting, Online Mapping, and end-to-end driving.