Search Results - "Lim, Hyungtae"

Quatro++: Robust global registration exploiting ground segmentation for loop closing in LiDAR SLAM by Lim, Hyungtae, Kim, Beomsoo, Kim, Daebeom, Mason Lee, Eungchang, Myung, Hyun

“…Global registration is a fundamental task that estimates the relative pose between two viewpoints of 3D point clouds. However, there are two issues that…”
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Similar but Different: A Survey of Ground Segmentation and Traversability Estimation for Terrestrial Robots by Lim, Hyungtae, Oh, Minho, Lee, Seungjae, Ahn, Seunguk, Myung, Hyun

“…With the increasing demand for mobile robots and autonomous vehicles, several approaches for long-term robot navigation have been proposed. Among these…”
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G2P-SLAM: Generalized RGB-D SLAM Framework for Mobile Robots in Low-Dynamic Environments by Song, Seungwon, Lim, Hyungtae, Jung, Sungwook, Myung, Hyun

“…In this paper, we propose a generalized grouping and pruning method for RGB-D SLAM in low-dynamic environments. The conventional grouping and pruning methods…”
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Effect of water vapor generation on cell polarization in active area of anode-supported solid oxide fuel cells by Kim, Jungmyung, Ali, Ehtesham, Kim, Minwoo, Lim, Hyungtae, Park, Heesung

“…In this paper, a three-dimensional computational fluid dynamics model based on the finite volume method is developed for an anode-supported solid oxide fuel…”
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Patchwork++: Fast and Robust Ground Segmentation Solving Partial Under-Segmentation Using 3D Point Cloud by Lee, Seungjae, Lim, Hyungtae, Myung, Hyun

“…In the field of 3D perception using 3D LiDAR sensors, ground segmentation is an essential task for various purposes, such as traversable area detection and…”
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Comparative Analysis of Sagittal Spinopelvic Parameters between Young & Old Aged Groups by Kim, Youngbae, MD, PhD, Kim, Yongjung, MD, Ahn, Young Joon, MD, Kang, Kyu Bok, MD, Lim, Hyungtae, MD

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ERASOR: Egocentric Ratio of Pseudo Occupancy-Based Dynamic Object Removal for Static 3D Point Cloud Map Building by Lim, Hyungtae, Hwang, Sungwon, Myung, Hyun

“…Scan data of urban environments often include representations of dynamic objects, such as vehicles, pedestrians, and so forth. However, when it comes to…”
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Patchwork: Concentric Zone-Based Region-Wise Ground Segmentation With Ground Likelihood Estimation Using a 3D LiDAR Sensor by Lim, Hyungtae, Oh, Minho, Myung, Hyun

“…Ground segmentation is crucial for terrestrial mobile platforms to perform navigation or neighboring object recognition. Unfortunately, the ground is not flat,…”
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GenZ-ICP: Generalizable and Degeneracy-Robust LiDAR Odometry Using an Adaptive Weighting by Lee, Daehan, Lim, Hyungtae, Han, Soohee

“…Light detection and ranging (LiDAR)-based odometry has been widely utilized for pose estimation due to its use of high-accuracy range measurements and immunity…”
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DynaVINS: a Visual-Inertial SLAM for Dynamic Environments by Song, Seungwon, Lim, Hyungtae, Lee, Alex Junho, Myung, Hyun

“…Visual inertial odometry and SLAM algorithms are widely used in various fields, such as service robots, drones, and autonomous vehicles. Most of the SLAM…”
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What if there was no revisit? Large-scale graph-based SLAM with traffic sign detection in an HD map using LiDAR inertial odometry by Sung, Changki, Jeon, Seulgi, Lim, Hyungtae, Myung, Hyun

“…Accurate localization and mapping in a large-scale environment is an essential system of an autonomous vehicle. The difficulty of the previous LiDAR or…”
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RONet: Real-time Range-only Indoor Localization via Stacked Bidirectional LSTM with Residual Attention by Lim, Hyungtae, Park, Changgue, Myung, Hyun

“…In this study, a three-layered bidirectional Long Short-term Memory (Bi-LSTM) with residual attention, named as RONet, is proposed to achieve localization…”
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REAL: Rapid Exploration with Active Loop-Closing toward Large-Scale 3D Mapping using UAVs by Lee, Eungchang Mason, Choi, Junho, Lim, Hyungtae, Myung, Hyun

“…Exploring an unknown environment without colliding with obstacles is one of the essentials of autonomous vehicles to perform diverse missions such as…”
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MSDPN: Monocular Depth Prediction with Partial Laser Observation using Multi-stage Neural Networks by Lim, Hyungtae, Gil, Hyeonjae, Myung, Hyun

“…In this study, a deep-learning-based multi-stage network architecture called Multi-Stage Depth Prediction Network (MSDPN) is proposed to predict a dense depth…”
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(LC) ^: LiDAR-Camera Loop Constraints for Cross-Modal Place Recognition by Lee, Alex Junho, Song, Seungwon, Lim, Hyungtae, Lee, Woojoo, Myung, Hyun

“…Localization has been a challenging task for autonomous navigation. A loop detection algorithm must overcome environmental changes for the place recognition…”
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eCDT: Event Clustering for Simultaneous Feature Detection and Tracking by Hu, Sumin, Kim, Yeeun, Lim, Hyungtae, Lee, Alex Junho, Myung, Hyun

“…Contrary to other standard cameras, event cam-eras interpret the world in an entirely different manner; as a collection of asynchronous events. Despite event…”
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Outlier-Robust Long-Term Robotic Mapping Leveraging Ground Segmentation by Lim, Hyungtae

“…Despite the remarkable advancements in deep learning-based perception technologies and simultaneous localization and mapping (SLAM), one can face the failure…”
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DynaVINS++: Robust Visual-Inertial State Estimator in Dynamic Environments by Adaptive Truncated Least Squares and Stable State Recovery by Song, Seungwon, Lim, Hyungtae, Lee, Alex Junho, Myung, Hyun

“…Despite extensive research in robust visual-inertial navigation systems (VINS) in dynamic environments, many approaches remain vulnerable to objects that…”
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CLOi-Mapper: Consistent, Lightweight, Robust, and Incremental Mapper With Embedded Systems for Commercial Robot Services by Noh, DongKi, Lim, Hyungtae, Eoh, Gyuho, Choi, Duckyu, Choi, Jeongsik, Lim, Hyunjun, Baek, SeungMin, Myung, Hyun

“…In commercial autonomous service robots with several form factors, simultaneous localization and mapping (SLAM) is an essential technology for providing proper…”
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B-TMS: Bayesian Traversable Terrain Modeling and Segmentation Across 3D LiDAR Scans and Maps for Enhanced Off-Road Navigation by Oh, Minho, Shin, Gunhee, Jang, Seoyeon, Lee, Seungjae, Lee, Dongkyu, Song, Wonho, Yu, Byeongho, Lim, Hyungtae, Lee, Jaeyoung, Myung, Hyun

“…Recognizing traversable terrain from 3D point cloud data is critical, as it directly impacts the performance of autonomous navigation in off-road environments…”
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