Place recognition is a key module in robotic navigation. The existing line of studies mostly
focuses on visual place recognition to recognize previously visited places solely based on …

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 …

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 …

Loop closing is a fundamental part of simultaneous localization and map** (SLAM) for
autonomous mobile systems. In the field of visual SLAM, bag of words (BoW) has achieved …

We propose a novel method for visual place recognition using bag of words obtained from
accelerated segment test (FAST)+ BRIEF features. For the first time, we build a vocabulary …

The evolution of contemporary mobile robotics has given thrust to a series of additional
conjunct technologies. Of such is the semantic map**, which provides an abstraction of …

Long-term autonomous mobile robot operation requires considering place recognition
decisions with great caution. A single incorrect decision that is not detected and …

This paper is concerned of the loop closure detection problem for visual simultaneous
localization and map** systems. We propose a novel approach based on the stacked …

Autonomous Vehicles (AV) are becoming more capable of navigating in complex
environments with dynamic and changing conditions. A key component that enables these …

Typical attempts to improve the capability of visual place recognition techniques include the
use of multi-sensor fusion and the integration of information over time from image …