Sensing Capabilities for Autonomous MCM
Abstract
We propose to upgrade and extend an existing autonomous underwater vehicle (AUV) to increase its sensing capabilities for MCM applications. In particular, we will integrate a compact sonar sensor that can collect side scan sonar images and bathymetric data. The embedded processors of the AUV will make it possible to extract features from sonar images and adapt the AUV#s underwater trajectory online based on the extracted information. The system will be used to test learning-based feature detection, extraction, and classification methods, as well as to evaluate active simultaneous localization and mapping (SLAM) approaches.This abstract is publicly releasable.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Nov 09, 2024
- Source ID
- N000142412796
Entities
People
- Florian Meyer
Organizations
- Office of Naval Research
- United States Navy
- University of California, San Diego