Emerging Trends in Technological Innovation First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2010, Costa de Caparica, Portugal, February 22-24, 2010
Conference papers
A Novel Framework for Data Registration and
Data Fusion in Presence of Multi-modal Sensors
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.
https://hal.inria.fr/hal-01060753
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Submitted on : Friday, November 17, 2017 - 4:33:20 PM Last modification on : Wednesday, November 29, 2017 - 11:23:14 AM Long-term archiving on: : Sunday, February 18, 2018 - 5:13:38 PM
Hadi Aliakbarpour, Joao Filipe Ferreira, Kamrad Khoshhal, Jorge Dias. A Novel Framework for Data Registration and
Data Fusion in Presence of Multi-modal Sensors. First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2010, Costa de Caparica, Portugal. pp.207-314, ⟨10.1007/978-3-642-11628-5_33⟩. ⟨hal-01060753⟩