Paper 13045-8
Paper 13045-8
Multispectral characterization of tower visibility in VIS, NIR, SWIR, MWIR, and LWIR bands from a ground-vehicle
On demand | Presented live 23 April 2024 
Abstract
Computer vision has become crucial to autonomous systems, helping them navigate complex environments. Combining this with geospatial data further provides capability to geolocate the system when GPS is not available or trusted. A test bed was built to characterize the visibility of radio and cellular towers from a ground-vehicle across all atmospheric transmission bands. These targets are exemplary features because of their visibility over long distances and surveyed geolocation. Contrast measurements of targets were characterized and compared in each spectral window under different environmental conditions. Utilizing human perception to build NVIPM models provided predictable range performance for each band.
Presenter
CREOL, The College of Optics and Photonics, Univ. of Central Florida (United States)
Mark Martino is a PhD student in the College of Optics and Photonics (CREOL) at the University of Central Florida where he is currently focusing on infrared imaging, optical materials, and device fabrication. Prior to UCF, Mark engineered metrology solutions for glass characterization at Corning. Prior to working in industry, Mark developed optical tomography for cancer diagnostics at Massachusetts General Hospital. He received his bachelor's degree from Northeastern University and master's degree from the University of Rochester.