6 citations · 12 across the 6 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
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…