I/ITSEC 2024: US Army combines UAVs, AI and new tech to improve simulation capabilities
I/ITSEC 2024: US Army combines UAVs, AI and new tech to improve simulation capabilities
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Defence Insight
Shephard Media
Some of the things people like you use Defence Insight for:
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- Total addressable market sizing ($)
- Competitor analysis
- Cost analysis
- Market forecasting
- Growth identification
- Increasing closing ratio
- Increasing closing order value
- Estimating product potential
- Calculating sales forecasting
- Supply and demand analysis
Military Unmanned Systems Handbook
Shephard Media
The Military Unmanned Systems Handbook (Digital Download) is an international guide to the military UV industry and provides detailed information on air, ground and sea (surface & sub-sea) vehicles as well as subsystems. What's included: Unencrypted 390+ page PDF of equipment and supplier information Market summary
Shephard Plus Update
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Shephard Plus is updating in June 2018 with rich new capabilities, and is now one of the most cost-effective and valuable aerospace and defence market intell...
Description
The US Army has been increasing efforts to improve its simulation capabilities by combining artificial intelligence (AI) and the operation of UAVs with a new technology known as 3D Gaussian Splatting (3DGS). This volume rendering technique enables the creation of high-quality visually realistic scenes by merging multiple photos or videos.
As part of this effort, the service is partnering with the University of Southern California - Institute for Creative Technologies (USC ICT) in a project named “3D Geospatial Terrain - Large-Scale Gaussian Splatting”.
This initiative addresses the challenges of using traditional polygon-based models and focuses on a hybrid approach by
As part of this effort, the service is partnering with the University of Southern California - Institute for Creative Technologies (USC ICT) in a project named “3D Geospatial Terrain - Large-Scale Gaussian Splatting”.
This initiative addresses the challenges of using traditional polygon-based models and focuses on a hybrid approach by
