The present paper describes a vision-based simultaneous localization and mapping system
to be applied to Unmanned Aerial Vehicles (UAVs). The main contribution of this work is to …

To obtain autonomy in applications that involve Unmanned Aerial Vehicles (UAVs), the
capacity of self-location and perception of the operational environment is a fundamental …

In this paper, we present a novel approach referred to as the audio-based virtual landmark-
based HoloSLAM. This innovative method leverages a single sound source and microphone …

This work presents a variant approach to the monocular SLAM problem focused in exploiting
the advantages of a human-robot interaction (HRI) framework. Based upon the delayed …

State estimation is a fundamental necessity for any application involving autonomous robots.
This paper describes a visual-aided inertial navigation and mapping system for application …

Studies on the social behaviors of bats show that they have the ability to eavesdrop on the
signals emitted by conspecifics in their vicinity. They can fuse this``passive" data with …

Simultaneous localization and mapping (SLAM) is an important problem to solve in robotics
theory in order to build truly autonomous mobile robots. This work presents a novel method …

Among so‐called active sensors that use self‐generated signals, sonar sensors are more
challenging to implement than lidar and radar due in part to their limited angular field of …

Active sensors, such as radar, lidar, and sonar, emit signals into the environment and
analyze the reflections to gather information such as distance, bearing, and, with more …

Monocular SLAM is a study which concentrates on deriving the position and motion
estimation information from tracked features using a single camera. In this paper, a novel …