We propose an on-line algorithm for simultaneous localization and mapping of dynamic
environments. Our algorithm is capable of differentiating static and dynamic parts of the …

We propose an on-line algorithm for simultaneous localization and mapping of dynamic
environments. Our algorithm is capable of differentiating static and dynamic parts of the …

The problem of generating maps with mobile robots has received considerable attention
over the past years. Most of the techniques developed so far have been designed for …

One important design decision for the development of autonomously navigating mobile
robots is the choice of the representation of the environment. This includes the question of …

This paper addresses the problem of environment representation for Simultaneous
Localization and Mapping (SLAM) algorithms. One of the main problems of SLAM is how to …

This article presents a very efficient SLAM algorithm that works by hierarchically dividing a
map into local regions and subregions. At each level of the hierarchy each region stores a …

Maintaining a map of an environment that changes over time is a critical challenge in the
development of persistently autonomous mobile robots. Many previous approaches to …

Traditionally, simultaneous localization and mapping (SLAM) algorithms solve the
localization and mapping problem in explored regions. This paper presents a prediction …

This paper addresses the problem of simultaneous localization and mapping (SLAM) by a
mobile robot. An incremental SLAM algorithm is introduced that is derived from multigrid …

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