Center of Excellence for Computational Intelligence and Machine Vision

The University of Dayton Center of Excellence for Computational Intelligence and Machine Vision (Vision Lab) strives to invent new technologies for sensor-based information extraction and automatic decision-making and to train students to become outstanding candidates to learn, lead and serve in the areas of machine intelligence and autonomous systems.

The Lab's primary strategic goals include developing new algorithms and architectures for real-time applications in the areas of signal processing, image processing, computer vision, pattern recognition, artificial neural networks and bio-mimetic object-vision recognition.

Collaborations and Connections

We offer UD students and employees opportunities to collaborate on projects, journal papers, dissertations and theses. We also continue to strive for new connections and to maintain current relationships with several leading universities around the world, local and national businesses and the U.S. Armed Forces in an effort to continue conducting collaborative and interdisciplinary research on topics of mutual interest.


DALES Data Set

The Dayton Annotated Laser Earth Scan (DALES) data set is a large-scale aerial lidar data set with nearly a half-billion points spanning 10 square kilometers of area. DALES contains 40 scenes of dense, labeled aerial data spanning multiple scene types, including urban, suburban, rural and commercial.

The data was hand-labeled by a team of expert lidar technicians into eight categories: ground, vegetation, cars, trucks, poles, power lines, fences and buildings.

The goal of this data set is to help advance the field of deep learning within aerial lidar.