Deep learning based localization and mapping has recently attracted significant attention.
Instead of creating hand-designed algorithms through exploitation of physical models or …

With the rise of deep learning, there is a fundamental change in visual simultaneous
localization and mapping (SLAM) algorithms toward developing different modules trained as …

Deep-learning-based localization and mapping approaches have recently emerged as a
new research direction and receive significant attention from both industry and academia …

Visual odometry and visual simultaneous localization and mapping aid in tracking the
position of a camera and mapping the surroundings using images. It is an important part of …

Estimating depth, ego-motion, and optical flow from consecutive frames is a critical task in
robot navigation and has received significant attention in recent years. In this study, we …

Factory planning can increase the productivity of manufacturing significantly, though the
process is expensive when it comes to cost and time. In this paper, we propose an …

视觉里程计(visual odometry, VO) 是处理搭载视觉传感器的移动设备定位问题的一种常用方法,
在自动驾驶, 移动机器人, AR/VR 等领域得到了广泛应用. 与传统基于模型的方法相比 …

In recent years, visual-inertial simultaneous localization and mapping (SLAM) have been
widely researched and used. The monocular vision-based depth estimation and visual …

Although factory planning is widely recognized as a way to significantly enhance
manufacturing productivity, the associated costs in terms of time and money can be …