Autonomous driving vehicles require both a precise localization and mapping solution in
different driving environment. In this context, Simultaneous Localization and Mapping …

Computer vision based indoor localization methods use either an infrastructure of static
cameras to track mobile entities (eg, people, robots) or cameras attached to the mobile …

In appearance-based localization and mapping, loop-closure detection is the process used
to determinate if the current observation comes from a previously visited location or a new …

Simultaneous Localization and Mapping (SLAM) achieves the purpose of simultaneous
positioning and map construction based on self-perception. The paper makes an overview …

Topological maps model the environment as a graph, where nodes are distinctive places of
the environment and edges indicate topological relationships between them. They represent …

Intelligent unmanned systems have important applications, such as pesticide-spraying in
agriculture, robot-based warehouse management systems, and missile-firing drones. The …

This review paper presents an overview of depth cameras. Our goal is to describe the
features and capabilities of the introduced depth sensors in order to determine their …

This article addresses the inspection problem of a complex 3D infrastructure using multiple
Unmanned Aerial Vehicles (UAVs). The main novelty of the proposed scheme stems from …

RatSLAM is a navigation system based on the neural processes underlying navigation in the
rodent brain, capable of operating with low resolution monocular image data. Seminal …

In this paper, we analyze and extend the recently proposed closed-form online pose-chain
simultaneous localization and mapping (SLAM) algorithm. Pose-chains are a specific type of …