3 citations · 6 across the 7 of their papers we have counts for
7 papers
Multi-cam Multi-map Visual Inertial Localization: System, Validation and Dataset
Yufei Wei, Fuzhang Han, Yanmei Jiao +9
Robot control loops require causal pose estimates that depend only on past and present measurements. At each timestep, controllers compute commands using the current pose without w…
NGEL-SLAM: Neural Implicit Representation-based Global Consistent Low-Latency SLAM System
Yunxuan Mao, Xuan Yu, Kai Wang +3
Neural implicit representations have emerged as a promising solution for providing dense geometry in Simultaneous Localization and Mapping (SLAM). However, existing methods in this…
FEJ-VIRO: A Consistent First-Estimate Jacobian Visual-Inertial-Ranging Odometry
Shenhan Jia, Yanmei Jiao, Zhuqing Zhang +2
In recent years, Visual-Inertial Odometry (VIO) has achieved many significant progresses. However, VIO methods suffer from localization drift over long trajectories. In this paper,…
Map-based Visual-Inertial Localization: Consistency and Complexity
Zhuqing Zhang, Yanmei Jiao, Shoudong Huang +2
Drift-free localization is essential for autonomous vehicles. In this paper, we address the problem by proposing a filter-based framework, which integrates the visual-inertial odom…
Toward Consistent and Efficient Map-based Visual-inertial Localization: Theory Framework and Filter Design
Zhuqing Zhang, Yang Song, Shoudong Huang +2
This paper focuses on designing a consistent and efficient filter for map-based visual-inertial localization. First, we propose a new Lie group with its algebra, based on which a n…
A Right Invariant Extended Kalman Filter for Object based SLAM
Yang Song, Zhuqing Zhang, Jun Wu +3
With the recent advance of deep learning based object recognition and estimation, it is possible to consider object level SLAM where the pose of each object is estimated in the SLA…