Optimizing Uncrewed Aircraft Fleet & Flight Operations (UA-FFOpt) and the Fleet Logistics Optimization Engine (FLOE) 

Aerial missions are becoming indispensable across industries, and optimizing operations for uncrewed aircraft and their supporting ground crews is critical. Mosaic ATM’s Uncrewed Aircraft Fleet & Flight Operations Optimization (UA-FFOpt) was designed to investigate this challenge by creating a proof-of-concept system aimed at optimizing large-region missions in terms of both aircraft flight time and ground crew costs.  

Mosaic ATM Addresses Advance Air Mobility Safety Alongside GE Aviation, SmartSky Networks

Mosaic ATM recently announced a collaboration with GE Aviation and SmartSky Networks to enhance Flight Management Systems (FMS) and Air Traffic Management (ATM) for Advanced Air Mobility (AAM). The combined work effort, conducted under a NASA Innovation Award, uniquely connects the airborne and cloud-based FMS to optimize airspace management while Read more…

Similarity Learning for Image Geolocation

We decided to approach this problem as a similarity learning modeling effort. We used convolutional neural networks to train a model that takes an image or video as input and outputs a vector representation of the input, such that similar inputs will be close to each other in the vector space. The vector learning is driven by a triplet loss function.