تقرير
Maritime situational awareness using adaptive multi-sensor management under hazy conditions
| العنوان: | Maritime situational awareness using adaptive multi-sensor management under hazy conditions |
|---|---|
| المؤلفون: | Prasad, D. K., Prasath, C. K., Rajan, D., Rachmawati, L., Rajabally, E., Quek, C. |
| سنة النشر: | 2017 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition |
| الوصف: | This paper presents a multi-sensor architecture with an adaptive multi-sensor management system suitable for control and navigation of autonomous maritime vessels in hazy and poor-visibility conditions. This architecture resides in the autonomous maritime vessels. It augments the data from on-board imaging sensors and weather sensors with the AIS data and weather data from sensors on other vessels and the on-shore vessel traffic surveillance system. The combined data is analyzed using computational intelligence and data analytics to determine suitable course of action while utilizing historically learnt knowledge and performing live learning from the current situation. Such framework is expected to be useful in diverse weather conditions and shall be a useful architecture to provide autonomy to maritime vessels. Comment: 11 pages, 2 figures, MTEC 2017 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/1702.00754 |
| رقم الأكسشن: | edsarx.1702.00754 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |