13 citations · 29 across the 7 of their papers we have counts for
4 papers · 1 filter
Enhancing State Estimator for Autonomous Racing : Leveraging Multi-modal System and Managing Computing Resources
Daegyu Lee, Hyunwoo Nam, Chanhoe Ryu +3
This paper introduces an approach that enhances the state estimator for high-speed autonomous race cars, addressing challenges from unreliable measurements, localization failures,…
A Versatile Door Opening System with Mobile Manipulator through Adaptive Position-Force Control and Reinforcement Learning
Gyuree Kang, Hyunki Seong, Daegyu Lee +1
The ability of robots to navigate through doors is crucial for their effective operation in indoor environments. Consequently, extensive research has been conducted to develop robo…
ELiOT : End-to-end Lidar Odometry using Transformer Framework
Daegyu Lee, Hyunwoo Nam, D. Hyunchul Shim
In recent years, deep-learning-based point cloud registration methods have shown significant promise. Furthermore, learning-based 3D detectors have demonstrated their effectiveness…
An Autonomous System for Head-to-Head Race: Design, Implementation and Analysis; Team KAIST at the Indy Autonomous Challenge
Chanyoung Jung, Andrea Finazzi, Hyunki Seong +6
While the majority of autonomous driving research has concentrated on everyday driving scenarios, further safety and performance improvements of autonomous vehicles require a focus…