With the rapid development of high-speed communication and artificial intelligence
technologies, human perception of real-world scenes is no longer limited to the use of small …

Abstract Simultaneous Localization and Mapping (SLAM) is a key problem in the field of
Artificial Intelligence and mobile robotics that addresses the problem of localization and …

Unmanned ground vehicles (UGVs) have great potential in the application of both civilian
and military fields, and have become the focus of research in many countries. Environmental …

In order to realize fast real-time positioning after a mobile robot starts, this paper proposes
an improved ORB-SLAM2 algorithm. Firstly, we proposed a binary vocabulary storage …

Visual simultaneous localization and mapping (vSLAM) algorithms use device camera to
estimate agent's position and reconstruct structures in an unknown environment. As an …

Visual-inertial-odometry has attracted extensive attention in the field of autonomous driving
and robotics. The size of Field of View (FoV) plays an important role in Visual-Odometry (VO) …

Simultaneous localization and mapping (SLAM) are fundamental elements for many
emerging technologies, such as autonomous driving and augmented reality. For this paper …

Unmanned ground vehicles (UGVs) have a huge development potential in both civilian and
military fields, and have become the focus of research in various countries. In addition, high …

When a traditional visual SLAM system works in a dynamic environment, it will be disturbed
by dynamic objects and perform poorly. In order to overcome the interference of dynamic …

Real-time indoor camera localization is a significant problem in indoor robot navigation and
surveillance systems. The scene can change during the image sequence and plays a vital …