Simultaneous localization and mapping (SLAM) in dynamic environments is an important
problem in robotics navigation, yet it is less studied. In this paper, we present a novel …

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

Simultaneous localization, mapping and moving object tracking (SLAMMOT) involves both
simultaneous localization and mapping (SLAM) in dynamic environments and detecting and …

In this paper we present a novel method for online and incremental appearance-based
localization and mapping in a highly dynamic environment. Using position-invariant robust …

Accurate localization and reliable mapping is essential for autonomous navigation of robots.
As one of the core technologies for autonomous navigation, Simultaneous Localization and …

Both simultaneous localization and mapping (SLAM) and detection and tracking of moving
objects (DTMO) play key roles in robotics and automation. For certain constrained …

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

Simultaneous localization and mapping (SLAM) is a prominent feature for autonomous
robots operating in undefined environments. Applications areas such as consumer robotics …

In this study, we propose a solution to the simultaneous localization and mapping (SLAM)
problem in low dynamic environments by using a pose graph and an RGB-D (red-green …

Although simultaneous localization and mapping (SLAM) algorithms are widely appreciated
in mobile robot navigation, they can be further improved to suit practical applications in …