We present a real-time visual-inertial dense mapping method capable of
p...
Incrementally recovering 3D dense structures from monocular videos is of...
Fine-detailed reconstructions are in high demand in many applications.
H...
Robotic applications are continuously striving towards higher levels of
...
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 ...
Motion blur is one of the major challenges remaining for visual odometry...
In this work, we present a lightweight, tightly-coupled deep depth netwo...
Multi-sensor fusion of multi-modal measurements from commodity inertial,...
Sensor calibration is the fundamental block for a multi-sensor fusion sy...
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...
This paper presents a tightly-coupled multi-sensor fusion algorithm term...
In this paper, we focus on localizing ground robots, by probabilisticall...
In this paper, we develop a robust efficient visual SLAM system that uti...