6 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…
PLED-VINS: A Point-Line Event-Based Visual Inertial SLAM for Dynamic Environments
Seunghun Lee, Jihun Nam, Dong-Uk Seo +1
Dynamic environments remain a fundamental challenge for visual SLAM, where unreliable observations from moving objects and rapid motion degrade state estimation accuracy. Although…
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…
AIM-SLAM: Dense Monocular SLAM via Adaptive and Informative Multi-View Keyframe Prioritization with Foundation Model
Jinwoo Jeon, Dong-Uk Seo, Eungchang Mason Lee +1
Recent advances in geometric foundation models have emerged as a promising alternative for addressing the challenge of dense reconstruction in monocular visual simultaneous localiz…
SE(3)-LIO: Smooth IMU Propagation With Jointly Distributed Poses on SE(3) Manifold for Accurate and Robust LiDAR-Inertial Odometry
Gunhee Shin, Seungjae Lee, Jei Kong +2
In estimating odometry accurately, an inertial measurement unit (IMU) is widely used owing to its high-rate measurements, which can be utilized to obtain motion information through…
SaWa-ML: Structure-Aware Pose Correction and Weight Adaptation-Based Robust Multi-Robot Localization
Junho Choi, Kihwan Ryoo, Jeewon Kim +6
Multi-robot localization is a crucial task for implementing multi-robot systems. Numerous researchers have proposed optimization-based multi-robot localization methods that use cam…