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20242026
most citedLVI-Q: Robust LiDAR-Visual-Inertial-Kinematic Odometry for Quadruped Robots Using Tightly-Coupled and Efficient Alternating Optimization

2 citations · 3 across the 7 of their papers we have counts for

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cs.RO2026

Raymoval: Raycasting-based Dynamic Object Removal for Static 3D Mapping

Daebeom Kim, Seungjae Lee, Seoyeon Jang +2

Static mapping is fundamental to robot navigation, providing a persistent geometric prior and a consistent reference for long-term autonomy. However, dynamic objects leave residual…

cs.RO2026

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…

cs.RO20252 cited

LVI-Q: Robust LiDAR-Visual-Inertial-Kinematic Odometry for Quadruped Robots Using Tightly-Coupled and Efficient Alternating Optimization

Kevin Christiansen Marsim, Minho Oh, Byeongho Yu +4

Autonomous navigation for legged robots in complex and dynamic environments relies on robust simultaneous localization and mapping (SLAM) systems to accurately map surroundings and…

cs.RO20241 cited

TRIP: Terrain Traversability Mapping With Risk-Aware Prediction for Enhanced Online Quadrupedal Robot Navigation

Minho Oh, Byeongho Yu, I Made Aswin Nahrendra +8

Accurate traversability estimation using an online dense terrain map is crucial for safe navigation in challenging environments like construction and disaster areas. However, trave…

cs.RO2024

TOSS: Real-time Tracking and Moving Object Segmentation for Static Scene Mapping

Seoyeon Jang, Minho Oh, Byeongho Yu +4

Safe navigation with simultaneous localization and mapping (SLAM) for autonomous robots is crucial in challenging environments. To achieve this goal, detecting moving objects in th…

cs.RO2024

B-TMS: Bayesian Traversable Terrain Modeling and Segmentation Across 3D LiDAR Scans and Maps for Enhanced Off-Road Navigation

Minho Oh, Gunhee Shin, Seoyeon Jang +7

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