This paper describes in a detailed manner a method to implement a simultaneous
localization and mapping (SLAM) system based on monocular vision for applications of …

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 perhaps the most fundamental problem
to solve in robotics in order to build truly autonomous mobile robots. The sensors have a …

Simultaneous Mapping and Localization (SLAM) is a multidisciplinary problem with
ramifications within several fields. One of the key aspects for its popularity and success is the …

This paper presents an experimental study utilizing the vision-aided inertial navigation
system (VaINS) on a fixed-wing unmanned aerial vehicle (UAV). VaINS operates as a data …

As the potential use of autonomous unmanned aerial vehicles (UAVs) has become more
prevalent in both the public and private sectors, the need for a reliable three-dimensional …

Abstract Bearing-only Simultaneous Localization and Mapping (SLAM) is a partially
observable SLAM problem, in wich the sensor used for perceiving the robot's enviroment …

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 …

This document describes an experiment using the Vision-aided Inertial Navigation System
(VaINS). The system collects and processes sensor data. It transmits the navigation solution …

Simultaneous Location and Mapping (SLAM) is a key problem to solve in order to build truly
autonomous mobile robots. SLAM with a unique camera, or monocular SLAM, is probably …