1 / 9

Autonomous Systems Sensors – The Front End of ISR

Autonomous Systems Sensors – The Front End of ISR. Mr. Patrick M. Sullivan SPAWAR ISR/IO National Competency Lead SSC-Pacific ISR/IO Department Head. CNO SSG XXVIII Theme. Innovative Concepts for Unmanned Systems: Operational and tactical employment across domains

montrell
Download Presentation

Autonomous Systems Sensors – The Front End of ISR

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Autonomous SystemsSensors – The Front End of ISR Mr. Patrick M. Sullivan SPAWAR ISR/IO National Competency Lead SSC-Pacific ISR/IO Department Head

  2. CNO SSG XXVIII Theme Innovative Concepts for Unmanned Systems: • Operational and tactical employment across domains • show how manned/unmanned systems will complement each other • Range of systems in terms of size, capability, numbers, and degree of modularity • Review the decision methodology for transitioning from manned to unmanned platforms • Assess communications and networking requirements for operational employment • Address potential common vehicle control methodologies • Strategy for future development of autonomy

  3. UUV / USV Systems Attributes • Provide a distributed, adaptive system for desired warfare areas • Deploy at long range, transit autonomously • Clusters of autonomous vehicles with detection capability • A mix of sensors on vehicles • Environmental adaptation to increase system Pd, lower Pfa • Coverage using multiple clusters • Minimize number of clusters by recent innovations in: • Intelligent autonomy • Acomms, RF Comms, Optical Comms • Environmental Exploitation • Mobility • Signal Processing

  4. UUV / USV Enhanced Detections - Clusters, Increased Surveillance Range / Duration • Optimize UUVs for range-persistence criteria, install interoperability (comms, autonomy) • Implement diverse sensors, strategies to improve node-cluster Pd, Pfa • Demonstrate delivery vehicle flexibility for docking-power-up • Test System-of-Systems Optimization strategies • Demonstrate/ Evaluate adaptive, intelligent autonomy and artificial intelligence (clusters)

  5. UUV / USV Systems-of-Systems, Adaptive Clusters, and Secure Communications • Demonstrate autonomous aperture formation • Implement multi-sensor cueing • Adapt autonomously to the environment • Integrate and demonstrate systems-to-systems communications • Optimize the UUVs for autonomous deployment of clusters • Increased persistence • Increase area surveillance

  6. UAS Challenges Ahead • Sufficient autonomy to enable 1 operator / large N UAS • Autonomy in the on-board processing to mitigate BW limitations • Much more data than pipes, can’t move it all… • Seamless integration into manned A/C operations

  7. UAS Challenges Ahead, cont’d • Fielding the right sensors to counter low-contrast foes • Adaptable / modular mission packages? • Interoperability / limit proliferation of proprietary control systems • Mission control systems and platform sensor products have to interface with legacy and emerging PORs • JUMPS, DCGS-N, ISNS, etc. • Need well defined standards, open architecture

  8. Control/Mission Planning Human/unmanned system interaction & collaboration Example: Intuitive and intelligent data fusion and representation for human comprehension Perception/Sensing Safety of operations: replace “See and Avoid” with “sense and avoid” Staying on task despite lost communications/instructions Example: 3D Simuiltaneous Localization and Mapping (SLAM) GPS denied navigation in unstructured environments Learning/Reasoning Learning decision architectures: Safety vs Mission across the range of operations Integration across the full range of complex operations Example: Cognitive models for UxV architectures Autonomy Outline 8

  9. Traditional CSG/ESG A Global Naval Force Enabled by the Unmanned Imperative Cooperation and Engagement Irregular Warfare Regional Conflict Sophisticated Adversary MCO Operations Core Capabilities Forward Presence Maritime Security Power Projection Humanitarian Assistance Sea Control Deterrence Permissive Contested Denied Environment Force Constructs Power Projection Maritime Security Cooperation Engagement Access Generation Traditional Manned Force Unmanned Imperative Capacity Capability Integrated Manned and Unmanned Force SSG XXVIII Homeland Defense In Depth A Naval Force Overcoming 21st Century Challenges

More Related