Memorias de investigación
Book chapters:
Automatic Collision Avoidance and Navigation

Research Areas
  • Artificial intelligence,
  • Programming language

The main goal of this chapter is to permit the growth of air traffic, whilst maintaining or increasing flight safety levels through automation. This should assist pilots and air traffic controllers and increase aircraft autonomy. MAGENTA is a PhD thesis, providing a framework for developing automatic learning tools. This framework has proven to be suitable for the aeronautic environment because of its adaptability to dynamic environments. One objective is to automate present aircraft collision avoidance systems. Collision avoidance refers here to a variety of possible occurrences, including other aircraft, geography, buildings, and so on. Another specific objective is optimize present automatic steering systems, by means of which aircraft can follow a specific or select the best route from a starting point to the head of the runway at the destination airport. These two objectives are in line with current Free Flight and Free Route plans in both the United States and Europe. This paper includes testing these automatic steering, navigation and collision avoidance capabilities with a flight simulator in a similar way to how pilots learn and are tested.
Book Edition
Book Publishing
Book title
Innovations Advanced Techniques in Systems, Computing Sciences and Software Engineering
From page
To page

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Investigación en Tecnología Informática y de las Comunicaciones: CETTICO
  • Departamento: Inteligencia Artificial
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Grupo de Investigación: Grupo de Informática Biomédica (LIA)