Visual place recognition is a challenging problem due to the vast range of ways in which the
appearance of real-world places can vary. In recent years, improvements in visual sensing …

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 …

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 …

This paper introduces a dynamic map for mobile robots that adapts continuously over time. It
resolves the stabilityplasticity dilemma (the trade-off between adaptation to new patterns and …

One of the most important and useful feature of autonomous mobile robots is their ability to
adopt themselves to operate in unstructured environment. Today robots are performing …

This paper presents a system for long-term SLAM (simultaneous localization and mapping)
by mobile service robots and its experimental evaluation in a real dynamic environment. To …

Real-world environments such as houses and offices change over time, meaning that a
mobile robot's map will become out of date. In this work, we introduce a method to update …

Accurate and robust localization is essential for the successful navigation of autonomous
mobile robots. The majority of existing localization approaches, however, is based on the …

Autonomous mobile robots are becoming increasingly important in many industrial and
domestic environments. Dealing with unforeseen situations is a difficult problem that must be …

This chapter introduces the basic concepts of autonomous navigation of mobile robots and
the utility of using vision as the sensing mechanism in achieving the desired objectives. The …