Multi-Core Parallel Processing for Sensor Fusion Architecture
AI Overview
This RFP seeks development of a multi-core parallel processing sensor fusion architecture to eliminate data loss and reduce latency in target tracking for manned and autonomous systems. The modular, platform-agnostic design must integrate multiple sensor types while maintaining real-time performance and compatibility with fifth-generation platforms.
This summary is AI-generated from the official solicitation.
Key Details
Official Description
The enhancement of target tracking, situational awareness, and decision-making in manned and autonomous systems is accomplished by fusing data from multiple sensors (homogeneous and heterogeneous). There are many complex issues within the implementation of sensor fusion, including, but not limited to, process latency, overprocessing of redundant data, and the inherent serial nature of current fusion architecture. To alleviate these issues, a prioritization ranking system is implemented to proces...
Change History
Multi-Core Parallel Processing for Sensor Fusion Architecture
New opportunity: Multi-Core Parallel Processing for Sensor Fusion Architecture
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