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 …

In recent years visual place recognition (VPR), ie, the problem of recognizing the location of
images, has received considerable attention from multiple research communities, spanning …

Inspired by properties of semantic segmentation, in this paper we investigate how to
leverage robust image segmentation in the context of privacy-preserving visual localization …

Long-Term visual localization under changing environments is a challenging problem in
autonomous driving and mobile robotics due to season, illumination variance, etc. Image …

Visual place recognition (VPR) is usually considered as a specific image retrieval problem.
Limited by existing training frameworks, most deep learning-based works cannot extract …

Traditional visual place recognition (VPR) methods generally use frame-based cameras,
which will easily fail due to rapid illumination changes or fast motion. To overcome this, we …

Localization is an essential task for mobile autonomous robotic systems that want to use pre-
existing maps or create new ones in the context of SLAM. Today, many robotic platforms are …

Currently, tourists tend to plan travel routes and itineraries by searching for relevant
information on tourist attractions via the Internet and intelligent terminals. However, it is …

Long-term visual localization is a challenging problem in practice, which depends on the
observed images captured by airborne camera to make the mobile robot perform the task of …

We propose a novel approach to visual geo-localization in natural environments. This is a
challenging problem due to vast localization areas, the variable appearance of outdoor …