Name
Title | ||
|---|---|---|
Gpu Acceleration Of Threat Map Computation And Application To Selection Of Sonar Field Controls |
Abstract | ||
|---|---|---|
The Threat Probability Density Map displays the outcomes of the search effort prior to detection and is a digital representation of the probability density function of location of the existing undetected threat. The Threat Map readily provides such diagnostics as the probabilities of the threat being present in different areas of interest and this information can be utilised in selection of sensor field controls. In this work we consider a GPU acceleration of the Monte-Carlo technique for Threat Map computation and discuss application to sonobuoys. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP) | multistatic sonar, CUDA, GPU |
Field | DocType | ISSN |
Sensor field,Computer vision,Computer science,CUDA,Sonar,Acceleration,Artificial intelligence,Probability density function,Computation | Conference | 1520-6149 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sergey Simakov | 1 | 0 | 2.03 |
| Fiona Fletcher | 2 | 1 | 1.40 |