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

Visual SLAM (VSLAM) has been develo** rapidly due to its advantages of low-cost
sensors, the easy fusion of other sensors, and richer environmental information. Traditional …

The Simultaneous Localization and Map** (SLAM) technique has achieved astonishing
progress over the last few decades and has generated considerable interest in the …

Most existing vision-based simultaneous localization and map** (SLAM) systems and
their variants still assume that the observation is absolutely static and cannot work well in …

Robots that can move autonomously and can make intelligent decisions by perceiving their
environments and surrounding objects are known as autonomous mobile robots. Such …

Autonomous localization and navigation, as an essential research area in robotics, has a
broad scope of applications in various scenarios. To widen the utilization environment and …

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

With its unique advantages of high flexibility and high efficiency, UAV has become a
reasonable substitute for conventional aerial measurement technology. Especially in the low …

Loop closure detection is of vital importance in the process of simultaneous localization and
map** (SLAM), as it helps to reduce the cumulative error of the robot's estimated pose and …