In this paper, we study state estimation of multi-visual-inertial system...
Place recognition is the fundamental module that can assist Simultaneous...
We propose a keypoint-based object-level SLAM framework that can provide...
In this paper, we study in-depth the problem of online self-calibration ...
The improvement of pose estimation accuracy is currently the fundamental...
In this paper we present a consistent and distributed state estimator fo...
In this work, we present a lightweight, tightly-coupled deep depth netwo...
Multi-sensor fusion of multi-modal measurements from commodity inertial,...
As cameras and inertial sensors are becoming ubiquitous in mobile device...
In recent years, the volume of the commercial mobile robot market has be...
While visual localization or SLAM has witnessed great progress in past
d...
Traditional attempts for loop closure detection typically use hand-craft...
This paper presents a tightly-coupled multi-sensor fusion algorithm term...
As inertial and visual sensors are becoming ubiquitous, visual-inertial
...
It holds great implications for practical applications to enable
centime...
This paper addresses the problem of detecting radioactive material in tr...
Robust efficient loop closure detection is essential for large-scale
rea...
In this paper, we perform a thorough observability analysis for lineariz...
In this paper, we propose a novel robocentric formulation of the
visual-...
In this paper we propose a new continuous preintegration theory for
grap...
In this paper, we develop a robust efficient visual SLAM system that uti...