1 citations · 1 across the 4 of their papers we have counts for
4 papers
LF-PGVIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras using Points and Geodesic Segments
Ze Wang, Kailun Yang, Hao Shi +4
In this paper, we propose LF-PGVIO, a Visual-Inertial-Odometry (VIO) framework for large Field-of-View (FoV) cameras with a negative plane using points and geodesic segments. The p…
Efficient View Path Planning for Autonomous Implicit Reconstruction
Jing Zeng, Yanxu Li, Yunlong Ran +6
Implicit neural representations have shown promising potential for the 3D scene reconstruction. Recent work applies it to autonomous 3D reconstruction by learning information gain…
A Decoupled and Linear Framework for Global Outlier Rejection over Planar Pose Graph
Tianyue Wu, Fei Gao
We propose a robust framework for the planar pose graph optimization contaminated by loop closure outliers. Our framework rejects outliers by first decoupling the robust PGO proble…
LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative Plane
Ze Wang, Kailun Yang, Hao Shi +3
Visual-inertial-odometry has attracted extensive attention in the field of autonomous driving and robotics. The size of Field of View (FoV) plays an important role in Visual-Odomet…