Autonomous Vehicle | Interactive Robotic Systems Laboratory

Autonomous Mobility Team

Stable interaction Recently, autonomous vehicle technology has been receiving considerable attention with the increased interest in the 4th industrial revolution. An Autonomous vehicle is a vehicle that is capable of sensing its environment and moving safely with little or no human intervention. In order to develop an autonomous vehicle, various technologies are required, including vehicle state identification, surround mapping, sensor fusion, path planning, motion control. Ever since the start of our participation at the autonomous vehicle competitions organized by Hyundai Motors, IRiS Lab has been conducting autonomous vehicle research since 2010. Our research mainly focused on navigation, typically, localization, mapping, obstacle detection, and path planning. Our expertise, based on many years of experience in autonomous vehicle competitions, has enabled us to build a robust and practically available autonomous driving solution in real road environments.

Team history

Researchers

Younghun Cho / Ph.D student

Yong-Jun Kim / Ph.D student

Sangmin Lee / Ph.D student

DongHyun Choi / M.S student

Handong Lee/ B.S student

Research Area

Autonomous Driving without prior information

This research introduces a new way to locate vehicles using freely available maps, rather than needing maps that were previously made using a specific technology called LiDAR. Our new research focus enable vehicle localization using light-weight descriptors from OpenStreetMap or publicly available map. This method is a step forward because it can be used anywhere, not just in places where LiDAR maps already exist. Additionally, this method performs just as well, if not better than those methods that rely on LiDAR maps. Different with other prior method for autonomous driving, our research focus to enable autonomous vehicle can drive even without prior information like humans, further, better than humans.

Teleoperated Driving

This research focuses on developing a solution for when self-driving vehicles encounter a malfunction or disabled state. The proposed approach revolves around teleoperation driving technology, which enables a human operator to remotely control the vehicle. This method is especially useful in scenarios where the autonomous systems of the vehicle fail or become incapacitated. It essentially serves as a backup system, ensuring that the vehicle can be safely and manually operated until the issues are resolved, thereby enhancing the safety and reliability of autonomous vehicles.