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of 249
pro vyhledávání: '"Kim, Jinwhan"'
Autor:
Chung, Dongha, Kim, Jinwhan
Over the last few decades, numerous LiDAR-inertial odometry (LIO) algorithms have been developed, demonstrating satisfactory performance across diverse environments. Most of these algorithms have predominantly been validated in open outdoor environme
Externí odkaz:
http://arxiv.org/abs/2405.12563
This paper proposes a novel approach for modeling and controlling nonlinear systems with varying parameters. The approach introduces the use of a parameter-varying Koopman operator (PVKO) in a lifted space, which provides an efficient way to understa
Externí odkaz:
http://arxiv.org/abs/2309.10278
In this paper, we describe the development process of autonomous navigation capabilities of a small cruise boat operating in a canal environment and present the results of a field experiment conducted in the Pohang Canal, South Korea. Nonlinear model
Externí odkaz:
http://arxiv.org/abs/2307.09845
Publikováno v:
The International Journal of Robotics Research. 2023
This paper presents a multimodal maritime dataset and the data collection procedure used to gather it, which aims to facilitate autonomous navigation in restricted water environments. The dataset comprises measurements obtained using various percepti
Externí odkaz:
http://arxiv.org/abs/2303.05555
Autor:
Van Tran, Quoc, Kim, Jinwhan
This letter presents two bearing-constrained formation tracking control protocols for multiple nonholonomic agents based respectively on the bearing vectors and displacements between the agents. The desired formation pattern of the system is specifie
Externí odkaz:
http://arxiv.org/abs/2202.06023
When a team of agents, such as unmanned aerial/underwater vehicles, are operating in $3$-dimensional space, their coordinated action in pursuit of a cooperative task generally requires all agents to either share a common coordinate system or know the
Externí odkaz:
http://arxiv.org/abs/2202.02224
Akademický článek
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Publikováno v:
In Expert Systems With Applications 1 September 2023 225
