%0 Conference Proceedings
%T A Novel Framework for Data Registration and Data Fusion in Presence of Multi-modal Sensors
%+ Institute of Systems and Robotics (ISR)
%+ IEEE student member
%A Aliakbarpour, Hadi
%A Ferreira, Joao Filipe
%A Khoshhal, Kamrad
%A Dias, Jorge
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS)
%C Costa de Caparica, Portugal
%Y Luis M. Camarinha-Matos; Pedro Pereira; Luis Ribeiro
%I Springer
%3 Emerging Trends in Technological Innovation
%V AICT-314
%P 207-314
%8 2010-02-22
%D 2010
%R 10.1007/978-3-642-11628-5_33
%K Occupancy grid and Homography
%K Multi-modality
%K data registration
%K data fusion
%Z Computer Science [cs]/Digital Libraries [cs.DL]Conference papers
%X 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.
%G English
%2 https://inria.hal.science/hal-01060753/document
%2 https://inria.hal.science/hal-01060753/file/AliakbarpourFKD10.pdf
%L hal-01060753
%U https://inria.hal.science/hal-01060753
%~ IFIP
%~ IFIP-AICT
%~ IFIP-AICT-314
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-WG5-5
%~ IFIP-DOCEIS