Daniel Morris, Ph.D.
Publications, Awards, Grants, and Patents
Biography
Dr. Morris serves as an associate professor with a joint appointment in Biosystems and Agricultural Engineering along with Electrical and Computer Engineering. He leads the Smart Sensing Lab, where his team is developing novel computer vision and deep learning solutions to problems in precision livestock farming and autonomous systems. He also leads the MSU racing team which, in collaboration with other university partners, is fielding a fully autonomous racecar for the Indy Autonomous Challenge.
Research Interests
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Uniquely identifying, tracking and analyzing behavior of animals in video
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Estimating livestock body condition and breathing rate from overhead cameras
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Automated interventions for cage-free poultry
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Deep learning for upsampling 3D point clouds and inferring hidden surfaces
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Fusing radar, camera and lidar data for estimating 3D vehicle pose
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Using cameras to guide farm equipment
Websites