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20202022
most citedERASOR: Egocentric Ratio of Pseudo Occupancy-based Dynamic Object Removal for Static 3D Point Cloud Map Building

261 citations · 281 across the 21 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.CV2022

eCDT: Event Clustering for Simultaneous Feature Detection and Tracking-

Sumin Hu, Yeeun Kim, Hyungtae Lim +2

Contrary to other standard cameras, event cameras interpret the world in an entirely different manner; as a collection of asynchronous events. Despite event camera's unique data ou…

cs.RO2022★ 7 cited

Patchwork++: Fast and Robust Ground Segmentation Solving Partial Under-Segmentation Using 3D Point Cloud

Seungjae Lee, Hyungtae Lim, Hyun Myung

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 object recognition. Unde…

cs.RO2022★ 1 cited

TRAVEL: Traversable Ground and Above-Ground Object Segmentation Using Graph Representation of 3D LiDAR Scans

Minho Oh, Euigon Jung, Hyungtae Lim +7

Perception of traversable regions and objects of interest from a 3D point cloud is one of the critical tasks in autonomous navigation. A ground vehicle needs to look for traversabl…

cs.RO2022

PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry

Dong-Uk Seo, Hyungtae Lim, Seungjae Lee +1

Numerous researchers have conducted studies to achieve fast and robust ground-optimized LiDAR odometry methods for terrestrial mobile platforms. In particular, ground-optimized LiD…

cs.CV2022

Struct-MDC: Mesh-Refined Unsupervised Depth Completion Leveraging Structural Regularities from Visual SLAM

Jinwoo Jeon, Hyunjun Lim, Dong-Uk Seo +1

Feature-based visual simultaneous localization and mapping (SLAM) methods only estimate the depth of extracted features, generating a sparse depth map. To solve this sparsity probl…

cs.RO2022

ViViD++: Vision for Visibility Dataset

Alex Junho Lee, Younggun Cho, Young-sik Shin +2

In this paper, we present a dataset capturing diverse visual data formats that target varying luminance conditions. While RGB cameras provide nourishing and intuitive information,…