activity
20212026
most citedRun Your Visual-Inertial Odometry on NVIDIA Jetson: Benchmark Tests on a Micro Aerial Vehicle

6 citations · 12 across the 6 of their papers we have counts for

collaborators

7 papers

cs.RO2026

Robust Structureless Monocular Visual Inertial Initialization Exploiting Line Features and Vanishing Points

Junwan Choi, Woongrae Jo, Dong-Uk Seo +2

Accurate initialization is essential for reliable visual-inertial odometry (VIO), but it is often ill-conditioned under degenerate motions. Existing methods typically require restr…

cs.RO2026

GaussianFlow SLAM: Monocular Gaussian Splatting SLAM Guided by GaussianFlow

Dong-Uk Seo, Jinwoo Jeon, Eungchang Mason Lee +1

Gaussian splatting has recently gained traction as a compelling map representation for SLAM systems, enabling dense and photo-realistic scene modeling. However, its application to…

cs.RO2025

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

Kevin Christiansen Marsim, Jinwoo Jeon, Yeeun Kim +2

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 pr…

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.RO2021★ 3 cited

UV-SLAM: Unconstrained Line-based SLAM Using Vanishing Points for Structural Mapping

Hyunjun Lim, Jinwoo Jeon, Hyun Myung

In feature-based simultaneous localization and mapping (SLAM), line features complement the sparsity of point features, making it possible to map the surrounding environment struct…

cs.LG2021★ 3 cited

Gradient Inversion with Generative Image Prior

Jinwoo Jeon, Jaechang Kim, Kangwook Lee +2

Federated Learning (FL) is a distributed learning framework, in which the local data never leaves clients devices to preserve privacy, and the server trains models on the data via…

cs.RO2021★ 6 cited

Run Your Visual-Inertial Odometry on NVIDIA Jetson: Benchmark Tests on a Micro Aerial Vehicle

Jinwoo Jeon, Sungwook Jung, Eungchang Lee +2

This paper presents benchmark tests of various visual(-inertial) odometry algorithms on NVIDIA Jetson platforms. The compared algorithms include mono and stereo, covering Visual Od…