Memorias de investigación
Ponencias en congresos:
Floor Optical Flow Based Navigation Controller for Multirotor Aerial Vehicles
Año:2013

Áreas de investigación
  • Visión por computador

Datos
Descripción
The presented work is focused on GPS-denied autonomous navigation for multirotor platforms. The problem of safe navigation based on noisy odometry measurements is discussed, and experimentally tested on the case of on-board optical flow measurements. A navigation controller is proposed which allows, through a group of configurable parameters, to ensure that the vehicle will fly on a speed specified flight envelope where the quality of the optical flow measurements is guaranteed. In order to attain safe navigation, the multirotor is modeled as a flying vehicle with specific kinematic constraints. The designed unperfect odometry based controller architecture has been experimentally tested on various multirotor vehicles, where the vehicles featured similar sensoring capabilities and the tolerance of our approach have been demonstrated. This work was implemented to compete in the International Micro Air Vehicle Conference and Flight Competition IMAV 2012, gaining two awards: the Special Award on ?Best Automatic Performance - IMAV 2012? and the second overall prize in the category of ?Indoor Flight Dynamics - Rotary Wing MAV?. Most of the related code is available as two open-source projects hosted on GitHub.
Internacional
Si
Nombre congreso
Robot 2013: First Iberian Robotics Conference (ROBOT 2013).
Tipo de participación
960
Lugar del congreso
Madrid (Spain)
Revisores
Si
ISBN o ISSN
978-3-319-03652-6
DOI
10.1007/978-3-319-03653-3_8
Fecha inicio congreso
28/11/2013
Fecha fin congreso
29/11/2013
Desde la página
91
Hasta la página
106
Título de las actas
Floor Optical Flow Based Navigation Controller for Multirotor Aerial Vehicles

Esta actividad pertenece a memorias de investigación

Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Computer Vision
  • Departamento: Automática, Ingeniería Electrónica e Informática Industrial
  • Centro o Instituto I+D+i: Centro de Automática y Robótica (CAR). Centro Mixto UPM-CSIC