Name
Title | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-11628-5_33 | IFIP Advances in Information and Communication Technology |
Keywords | Field | DocType |
Multi-modality,data registration,data fusion,Occupancy grid and Homography | Inertial frame of reference,Computer vision,Sensor fusion,Artificial intelligence,Inertial measurement unit,Engineering,Binaural recording,Fuse (electrical),Grid,Modal,Occupancy grid mapping | Conference |
Volume | ISSN | Citations |
314 | 1868-4238 | 2 |
PageRank | References | Authors |
0.40 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hadi Aliakbarpour | 1 | 90 | 14.79 |
| João Filipe Ferreira | 2 | 50 | 6.75 |
| Kamrad Khoshhal | 3 | 39 | 3.35 |
| Jorge Dias | 4 | 556 | 51.00 |