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Collaborative Sensing Under Resource Constraints

The goal of this project was to design and implement a resource-constrained system for collaborative sensing where two units interactively exchange data in order to track an object in occluded environments. Collaborative sensing leverages communication between sensors to improve each sensor’s knowledge about the environment. Applications include self-driving vehicles and mobile robots that would require situational awareness.

Team Members: 

Phuc Dang

Matthew Johnson

Faisal Mahmood

Mohamed Nasreldin

Peter Reipold