This paper is an overview to Visual Simultaneous Localization and Mapping (V-SLAM). We
discuss the basic definitions in the SLAM and vision system fields and provide a review of …

Autonomous driving vehicles require both a precise localization and mapping solution in
different driving environment. In this context, Simultaneous Localization and Mapping …

Visual Simultaneous Localization and Mapping (VSLAM) has developed as the basic ability
of robots in past few decades. There are a lot of open-sourced and impressive SLAM …

Abstract Visual SLAM (Simultaneously Localization and Mapping) is a solution to achieve
localization and mapping of robots simultaneously. Significant achievements have been …

视觉SLAM 技术依靠体积小, 功耗低, 信息获取丰富的视觉传感器, 为未知环境下的机器人提供
环境地图及自身在地图中的定位结果, 对机器人自动化, 智能化应用有着重要意义 …

Purpose Many popular simultaneous localization and mapping (SLAM) techniques have low
accuracy, especially when localizing environments containing dynamically moving objects …

Visual simultaneous localization and mapping (SLAM) provides mapping and self-
localization results for a robot in an unknown environment based on visual sensors, that …

We take formulate structure from motion as a learning problem, and propose an end-to-end
learning framework to calculate the image depth, optical flow, and the camera motion. This …

Underwater robots often encounter the influence of confined underwater environments
during underwater exploration. These environments include underwater caves, sunken …

摘要传统的闭环检测方法大多采用人工设计的特征, 很容易受到环境的影响.
卷积神经网络通过提取层次化特征, 更好地应对了光照变化, 但忽略了图像的局部空间特性 …