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Yeeun Kim

7 accepted papers

2025

CHADET: Cross-Hierarchical-Attention for Depth-Completion Using Unsupervised Lightweight Transformer

IROS 2025

Depth information which specifies the distance between objects and current position of the robot is essential for many robot tasks such as navigation. Recently, researchers have proposed depth completion frameworks to provide dense depth maps that offer comprehensive information about the surroundin

Cited by 0SourceScholar
2025

On the Consideration of AI Openness: Can Good Intent Be Abused?

AAAI 2025technical

Open source is a driving force behind scientific advancement. However, this openness is also a double-edged sword, with the inherent risk that innovative technologies can be misused for purposes harmful to society. What is the likelihood that an open source AI model or dataset will be used to commi…

2024

Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language Models

EMNLP 2024finding

Large language models (LLMs) have demonstrated remarkable performance in the legal domain, with GPT-4 even passing the Uniform Bar Exam in the U.S. However their efficacy remains limited for non-standardized tasks and tasks in languages other than English. This underscores the need for careful evalu…

2022

STEP: State Estimator for Legged Robots Using a Preintegrated Foot Velocity Factor

RA-L 2022

Wepropose a novel state estimator for legged robots, <i>STEP</i>, achieved through a novel preintegrated foot velocity factor. In the preintegrated foot velocity factor, the usual non-slip assumption is not adopted. Instead, the end effector velocity becomes observable by exploiting the body speed o

Cited by 39SourceScholar
2022

eCDT: Event Clustering for Simultaneous Feature Detection and Tracking

IROS 2022poster

Contrary to other standard cameras, event cam-eras interpret the world in an entirely different manner; as a collection of asynchronous events. Despite event camera's unique data output, many event feature detection and tracking algorithms have shown significant progress by making detours to frame-b…

Cited by 26SourceScholar
2021

Avoiding Degeneracy for Monocular Visual SLAM with Point and Line Features

ICRA 2021poster

In this paper, a degeneracy avoidance method for a point and line based visual SLAM algorithm is proposed. Visual SLAM predominantly uses point features. However, point features lack robustness in low texture and illuminance variant environments. Therefore, line features are used to compensate the w…

Cited by 52SourceScholar
2021

Real-Time Obstacle Avoidance Using Dual-Type Proximity Sensor for Safe Human-Robot Interaction

RA-L 2021

This letter introduces a dual-type proximity sensor and a control strategy for a robot manipulator to realize safe human-robot interactions (HRI) by using the sensor. Safety is an essential condition for HRI in practical scenarios. To achieve this condition, information about the relationship betwee

Cited by 36SourceScholar