MX1: A new multi-modal UAS payload system with high accuracy GPS and IMU
March 28 @ 16:30 - 17:30
Part of the Joint Chapters Meeting. Register HERE: https://events.vtools.ieee.org/m/157596
Remote sensing is becoming increasingly popular in the UAV market. Research is being conducted across the world using all types of imaging modalities to gather higher resolution data. As sensors have become smaller, and UAV payload capacities have become larger, the ability to create payload combinations of multiple modalities has risen. For many research projects the use of multiple modalities is needed. In remote sensing, the weather conditions and time of collection play a major role in the success of the collected data. This presentation outlines a new multi-modal payload system that allows for simultaneous collection of four different types of imaging modalities. RGB, LWIR, LiDAR and Hyperspectral. By collecting all modalities simultaneously, we can collect data with the same weather conditions and light levels. This also eliminates the need to change gimbals in the field and reduce the wear and tear on the equipment from multiple payload changes. This talk will highlight the process taken to create this multi-modal USAS payload and some challenges met along the way.
Speaker(s): Timothy Bauch,
Rochester Institute of Technolgoy
Louise Slaughter Hall – CIMS
Rochester, New York