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Texas A&M University College of Engineering

Vision Based Sensors and Navigation Systems

Autonomous air-to-air refueling of UAS (patent awarded), motion video tracking of ground targets for UAS, vision systems for Counter-UAS, auto takeoff & landing of UAS on moving vehicles.


Vision Enabled Markerless Landing on a Moving Ground Vehicle

Multi-Sensor Flight Test

2018 T3 Program: Mars Automated Terrain Analysis for Navigation and Science Targeting

Characterization of Derived Angle-of-Attack and Flight Path Angle Algorithms For General Aviation, Platforms, Phase I

Unmanned Flight Test of Observation Pod for Precision Agriculture Application

Flight Testing of Universal Access Transceiver Datalink on Unmanned Air System

Intelligent Motion Video Algorithms for Unmanned Air Systems, Phase III

Intelligent Motion Video Algorithms for Unmanned Air Systems, Phase I

Autonomous Aerial Refueling Demonstration, Phase I

Intelligent Vision Sensing For Motion Based Guidance

Flight Evaluation of Prototype Optical Landing System

Flight and Sensor Simulation for Autonomous Aerial Refueling Technology Development: Phase II

 

Intelligent and Safe Technologies for Enhanced UAS Autonomous Air Refueling Operations, Phase I

Unmanned Aerial System (UAS) Data Collection at Brazos Bottom Farm, Phase II

Utilization of Unmanned Aerial Systems (UAS) for Crop Production and Weed Management Applications

Unmanned Aerial System (UAS) Data Collection at Brazos Bottom Farm, Phase I

Infrastructure Assessment Using Unmanned Air Systems (UAS) and Video Analytics, Phase I

Intelligent Motion Video Algorithms for Unmanned Air Systems, Phase IV

Intelligent Motion Video Algorithms for Unmanned Air Systems, Phase II

Support for Autonomous Aerial Refueling System (AARS) Demonstration

Autonomous Aerial Refueling of Unmanned Air Vehicles

 

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