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 …

The booming interest in Unmanned Aerial Vehicles (UAV s) is fed by their potentially great
impact, however progress is hindered by their limited perception capabilities. While vision …

Place recognition is an essential capability for robotic autonomy. While ground robots
observe the world from generally similar viewpoints over repeated visits, other robots, such …

Visual place recognition is a fundamental capability for the localization of mobile robots. It
places image retrieval in the practical context of physical agents operating in a physical …

With a large body of literature dedicated to ego-motion estimation and perception of a robot's
workspace, the robotics community has seen some impressive advances in self-localization …

Visual Place Recognition (VPR) is a fundamental yet challenging task for small Unmanned
Aerial Vehicle (UAV). The core reasons are the extreme viewpoint changes, and limited …

In this work we present an algorithm for severe (unknown) blur detection on RGB images.
On salient CNN-based regional representations we calculate local features that are then fed …

Satellite imagery has traditionally been used to collect crop statistics, but its low resolution
and registration accuracy limit agricultural analytics to plant stand levels and large areas …

Recently, Bag-of-Words (BoW) has become a de-facto standard solution for loop-closure
detection (LCD) in robotic visual SLAM (rvSLAM). Whereas BoW is efficient in using …

Visual Place Recognition (VPR) has been a subject of significant research over the last 15 to
20 years. VPR is a fundamental task for autonomous navigation as it enables self …