Name
Abstract | ||
|---|---|---|
The increasing demand for robust and precise navigation systems has brought-up new sensor fusion algorithms that improve system performance of such systems. However, these algorithms present two challenges: they are computation-intensive and require hybrid but tightly coupled processing resources. In this paper, we present a flexible fast prototyping platform for navigation systems with advanced sensors fusion. The platform is a complete hardware/software framework including FPGA hardware accelerators for some compute intensive parts of image and GNSS signal processing. It can be used by system designers to implement and test advanced, tightly coupled sensor fusion algorithms in representative environments while fully respecting real-time. |
Year | Venue | Keywords |
|---|---|---|
2016 | PROCEEDINGS OF THE 2016 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE) | sensor fusion, embedded vision, fast prototyping, geolocalization |
Field | DocType | ISSN |
Signal processing,Algorithm design,Computer science,Fusion,Field-programmable gate array,Real-time computing,Sensor fusion,Software,GNSS applications,Software framework,Embedded system | Conference | 1530-1591 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Charly Bechara | 1 | 16 | 2.65 |
| Karim Ben Chehida | 2 | 18 | 5.95 |
| Mickael Guibert | 3 | 0 | 0.34 |
| Renaud Schmit | 4 | 5 | 1.87 |
| Maria Lepecq | 5 | 2 | 0.74 |
| Laurent Soulier | 6 | 0 | 1.01 |
| Thomas Dombek | 7 | 2 | 1.07 |
| Yann Leclerc | 8 | 0 | 0.34 |