A robust and fast method for 6DoF motion estimation from generalized 3D data

  • Authors:
  • Diego Viejo;Miguel Cazorla

  • Affiliations:
  • Ciencia de la Computación e Inteligencia Artificial, University of Alicante, Alicante, Spain 03080;Ciencia de la Computación e Inteligencia Artificial, University of Alicante, Alicante, Spain 03080

  • Venue:
  • Autonomous Robots
  • Year:
  • 2014

Quantified Score

Hi-index 0.00

Visualization

Abstract

Nowadays, there is an increasing number of robotic applications that need to act in real three-dimensional (3D) scenarios. In this paper we present a new mobile robotics orientated 3D registration method that improves previous Iterative Closest Points based solutions both in speed and accuracy. As an initial step, we perform a low cost computational method to obtain descriptions for 3D scenes planar surfaces. Then, from these descriptions we apply a force system in order to compute accurately and efficiently a six degrees of freedom egomotion. We describe the basis of our approach and demonstrate its validity with several experiments using different kinds of 3D sensors and different 3D real environments.