Energy Efficient Environmentally Compliant Unmanned Surface Vessels
Abstract
The PI will conduct research into understanding, advancing and developing technologies for autonomous surface navigation including autonomous obstacle identification and avoidance, automated docking, detailed surface obstacle scanning and identification, and subsurface scanning and identification. This effort focuses on applying increases in USV capability and autonomy, and evaluating the influence on total system performance.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 03, 2017
- Source ID
- N000141712365
Entities
People
- A Trimble
Organizations
- Office of Naval Research
- United States Navy
- University of Hawaiʻi System