Surveillance and Autonomy
The basic components of intelligence, surveillance and reconnaissance (ISR) systems include networks of sensors, intelligent software systems and expert human operators. The complex nature of ISR typically concerns a wide range of information sources, the presence of multiple goals, and typically concerns joint operations and doctrine, added to the time-sensitive nature of tasks involved.
Surveillance and autonomy form a natural partnership for solving such tasks. The key to achieving better surveillance is based on faster responsiveness and higher quality decision making techniques relying on the automated processing and integration of information from disparate and highly dynamic sources.
Significant improvements can be realised by autonomous systems that have the capability of better leveraging information – either for the benefit of commanders during decision making, or for computer systems that must sense and respond in real-time. Advances in this field are critical to meeting the performance objectives of complex tasks such as intelligence, surveillance and reconnaissance (ISR), communications, command and control (C3) and air traffic management (ATM) and logistics and supply chain management (SCM). Techniques in this field include, but are not limited to:
- Information & sensor fusion
- Geospatial intelligence
- Data mining & machine learning
- Decision support & situation awareness
- Human-machine interaction (HMI)
- Automated scheduling and planning