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A Novel Framework for Data Registration and Data Fusion in Presence of Multi-modal Sensors

  • Hadi Aliakbarpour
  • Joao Filipe Ferreira
  • Kamrad Khoshhal
  • Jorge Dias
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 314)

Abstract

This article presents a novel framework to register and fuse heterogeneous sensory data. Our approach is based on geometrically registration of sensory data onto a set of virtual parallel planes and then applying an occupancy grid for each layer. This framework is useful in surveillance applications in presence of multi-modal sensors and can be used specially in tracking and human behavior understanding areas. The multi-modal sensors set in this work comprises of some cameras, inertial measurement sensors (IMU), laser range finders (LRF) and a binaural sensing system. For registering data from each one of these sensors an individual approach is proposed. After registering multi-modal sensory data on various geometrically parallel planes, a two-dimensional occupancy grid (as a layer) is applied for each plane.

Keywords

Multi-modality data registration data fusion Occupancy grid and Homography 

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Copyright information

© IFIP International Federation for Information Processing 2010

Authors and Affiliations

  • Hadi Aliakbarpour
    • 1
    • 2
  • Joao Filipe Ferreira
    • 1
  • Kamrad Khoshhal
    • 1
  • Jorge Dias
    • 1
  1. 1.Institute of Systems and Robotics (ISR)University of CoimbraPortugal
  2. 2.IEEE student memberPortugal

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