In the last few decades, Structure from Motion (SfM) and visual Simultaneous Localization
and Mapping (visual SLAM) techniques have gained significant interest from both the …

Simultaneous Localization and Mapping is now widely adopted by many applications, and
researchers have produced very dense literature on this topic. With the advent of smart …

The assumption of scene rigidity is typical in SLAM algorithms. Such a strong assumption
limits the use of most visual SLAM systems in populated real-world environments, which are …

Combining Simultaneous Localisation and Mapping (SLAM) estimation and dynamic scene
modelling can highly benefit robot autonomy in dynamic environments. Robot path planning …

In the last decades there has been a tremendous increase in demand for Assistive
Technologies (AT) useful to overcome functional limitations of individuals and to improve …

In this paper, a simultaneous localization and mapping (SLAM) method that eliminates the
influence of moving objects in dynamic environments is proposed. This method utilizes the …

Visual ego-motion estimation, or briefly visual odometry (VO), is one of the key building
blocks of modern SLAM systems. In the last decade, impressive results have been …

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

What will the future be? We wonder! In this survey, we explore the gap between current
research in egocentric vision and the ever-anticipated future, where wearable computing …

Estimating the pose of a moving camera from monocular video is a challenging problem,
especially due to the presence of moving objects in dynamic environments, where the …