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 …

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

Visual place recognition algorithms trade off three key characteristics: their storage footprint,
their computational requirements, and their resultant performance, often expressed in terms …

If we have been there before, we realize that viewing a single photograph is sufficient to
understand where the picture was captured. This fact highlights the impact of appearance …

This book introduces several appearance-based place recognition pipelines based on
different mapping techniques for addressing loop-closure detection in mobile platforms with …

A recent discovery has found that rats used multiple discretized grid cells modules rather
than a single module to map the environment. This study extended the existing single scale …

As presented in this book, the main objective of any loop-closure detection pipeline is to
facilitate robust navigation for an extended period and under a broad range of viewing …

We reveal how implementing the homogeneous, multi-scale mapping frameworks observed
in the mammalian brain's mapping systems radically improves the performance of a range of …

Visual localization algorithms have achieved significant improvements in performance
thanks to recent advances in camera technology and vision-based techniques. However …

With a growing demand for autonomous robots in a wide range of applications, such as
search and rescue, space, and underwater explorations, accurate navigation is more than …