Now showing items 1-5 of 5

  • Delayed monocular SLAM approach applied to unmanned aerial vehicles 

    Munguía Alcalá, Rodrigo Francisco; Urzua, Sarquis; Grau Saldes, Antoni (2016-12-29)
    Article
    Open Access
    In recent years, many researchers have addressed the issue of making Unmanned Aerial Vehicles (UAVs) more and more autonomous. In this context, the state estimation of the vehicle position is a fundamental necessity for ...
  • Design and development of aerial robotic systems for sampling operations in industrial environment 

    Munguía Alcalá, Rodrigo Francisco; Guerra Paradas, Edmundo; Urzua, Sarquis; Bolea Monte, Yolanda; Grau Saldes, Antoni (InTech, 2017-09-06)
    Part of book or chapter of book
    Open Access
    This chapter describes the development of an autonomous fluid sampling system for outdoor facilities, and the localization solution to be used. The automated sampling system will be based on collaborative robotics, with a ...
  • Monocular SLAM system for MAVs aided with altitude and range measurements: a GPS-free approach 

    Urzua, Sarquis; Munguía Alcalá, Rodrigo Francisco; Grau Saldes, Antoni (2018-02-02)
    Article
    Open Access
    A typical navigation system for a Micro Aerial Vehicle (MAV) relies basically on GPS for position estimation. However,for several kinds of applications, the precision of the GPS is inappropriate or even its signal can be ...
  • Vision-based SLAM system for MAVs in GPS-denied environments 

    Urzua, Sarquis; Munguía Alcalá, Rodrigo Francisco; Grau Saldes, Antoni (2017-06)
    Article
    Open Access
    Using a camera, a micro aerial vehicle (MAV) can perform visual-based navigation in periods or circumstances when GPS is not available, or when it is partially available. In this context, the monocular simultaneous ...
  • Vision-based SLAM system for unmanned aerial vehicles 

    Munguía Alcalá, Rodrigo Francisco; Urzua, Sarquis; Bolea Monte, Yolanda; Grau Saldes, Antoni (2016-03)
    Article
    Open Access
    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 propose a novel estimator relying on an ...