Software adaptation for an unmanned undersea vehicle
Research output: Contribution to journal › Article › peer-review
Authors
Colleges, School and Institutes
External organisations
- Charles River Analytics
- University of Southern California Information Sciences Institute
Abstract
Most current software systems are not adaptable, making them less capable of achieving their objectives. We are developing a method to optimize software for new environments automatically. An independent evaluation has demonstrated that this method adapts to degraded sensors, changing environmental conditions, and a loss of power.
Details
| Original language | English |
|---|---|
| Article number | 8648259 |
| Pages (from-to) | 91-96 |
| Number of pages | 6 |
| Journal | IEEE Software |
| Volume | 36 |
| Issue number | 2 |
| Early online date | 21 Feb 2019 |
| Publication status | Published - 1 Mar 2019 |
Keywords
- remotely operated vehicles, underwater vehicles, current software systems, software adaptation, environmental conditions, unmanned undersea vehicle, Software development management, Probabilistic logic, Navigation, Sensor systems, Optimization