Skip to Main content Skip to Navigation
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.
Document type :
Conference papers
Complete list of metadata

Cited literature [14 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
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


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



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⟩



Record views


Files downloads