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 …

Humans are able to form a complex mental model of the environment they move in. This
mental model captures geometric and semantic aspects of the scene, describes the …

Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …

The assumption of scene rigidity is common in visual SLAM algorithms. However, it limits
their applicability in populated real-world environments. Furthermore, most scenarios …

The scene rigidity is a strong assumption in typical visual Simultaneous Localization and
Map** (vSLAM) algorithms. Such strong assumption limits the usage of most vSLAM in …

In this paper, we present a method for single image three-dimensional (3-D) cuboid object
detection and multiview object simultaneous localization and map** in both static and …

Simultaneous localization and map** (SLAM), as one of the core prerequisite
technologies for intelligent mobile robots, has attracted much attention in recent years …