20 citations · 70 across the 9 of their papers we have counts for
9 papers
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…
Model Parameter Identification via a Hyperparameter Optimization Scheme for Autonomous Racing Systems
Hyunki Seong, Chanyoung Chung, David Hyunchul Shim
In this letter, we propose a model parameter identification method via a hyperparameter optimization scheme (MI-HPO). Our method adopts an efficient explore-exploit strategy to ide…
Design, Field Evaluation, and Traffic Analysis of a Competitive Autonomous Driving Model in a Congested Environment
Daegyu Lee, Hyunki Seong, Seungil Han +3
Recently, numerous studies have investigated cooperative traffic systems using the communication among vehicle-to-everything (V2X). Unfortunately, when multiple autonomous vehicles…
A Resilient Navigation and Path Planning System for High-speed Autonomous Race Car
Daegyu Lee, Chanyoung Jung, Andrea Finazzi +2
This paper describes a resilient navigation and planning system used in the Indy Autonomous Challenge (IAC) competition. The IAC is a competition where full-scale race cars run aut…
Mapless Navigation: Learning UAVs Motion forExploration of Unknown Environments
Sunggoo Jung, David Hyunchul Shim
This study presents a new methodology for learning-based motion planning for autonomous exploration using aerial robots. Through the reinforcement learning method of learning throu…
Game-Theoretic Model Predictive Control with Data-Driven Identification of Vehicle Model for Head-to-Head Autonomous Racing
Chanyoung Jung, Seungwook Lee, Hyunki Seong +2
Resolving edge-cases in autonomous driving, head-to-head autonomous racing is getting a lot of attention from the industry and academia. In this study, we propose a game-theoretic…
Robust Collision-free Lightweight Aerial Autonomy for Unknown Area Exploration
Sunggoo Jung, Hanseob Lee, David Hyunchul Shim +1
Collision-free path planning is an essential requirement for autonomous exploration in unknown environments, especially when operating in confined spaces or near obstacles. This st…
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge
Ali Agha, Kyohei Otsu, Benjamin Morrell +69
This paper presents and discusses algorithms, hardware, and software architecture developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), competing in the DARP…
BAXTER: Bi-modal Aerial-Terrestrial Hybrid Vehicle for Long-endurance Versatile Mobility: Preprint Version
Hyungho Chris Choi, Inhwan Wee, Micah Corah +5
Unmanned aerial vehicles are rapidly evolving within the field of robotics. However, their performance is often limited by payload capacity, operational time, and robustness to imp…