Seungil Han

About

Seungil Han is a pioneering researcher in autonomous driving, with a focus on pushing the boundaries of vehicle performance in both congested urban environments and extreme racing conditions. His most cited work, "Design, Field Evaluation, and Traffic Analysis of a Competitive Autonomous Driving Model in a Congested Environment" (2024, 6 citations), tackles the critical challenge of deploying multiple autonomous vehicles in real-world traffic, particularly when vehicle-to-everything (V2X) communication fails. This research addresses a key vulnerability in cooperative driving systems, offering insights into how autonomous vehicles can navigate conflicts of interest without relying on constant connectivity. Han is also a leading figure in autonomous racing, as demonstrated by his paper "An Autonomous System for Head-to-Head Race: Design, Implementation and Analysis; Team KAIST at the Indy Autonomous Challenge" (2023, 2 citations). This work shifts the focus from everyday driving to extreme, high-speed scenarios, where safety and performance are tested at their limits. By contributing to the Indy Autonomous Challenge, Han has helped advance the reliability and robustness of autonomous systems under the most demanding conditions. His research is vital for the next generation of self-driving technology, bridging the gap between theoretical models and real-world, high-stakes applications.

Research Focus

Key Achievements

Top Papers

1. 1
   Design, Field Evaluation, and Traffic Analysis of a Competitive Autonomous Driving Model in a Congested Environment

   6 citations · 2024
2. 2
   An Autonomous System for Head-to-Head Race: Design, Implementation and Analysis; Team KAIST at the Indy Autonomous Challenge

   2 citations · 2023

Key Collaborators

Contact & Links