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Undergraduate Research - Autonomous Image Processing

We are looking for a teammate to support the development of a process to assist in identification and classification of vegetation in images captured from a custom-built fixed-wing drone. Our anticipated process will require 
  • integrating a camera hardware and software into the drone fuselage and flight controller
  • Combining the individual, overlapping images into an orthomosaic composite data set
  • Generating a digital surface model
  • Processing the data to locate tree canopies
  • Developing a neural network to automatically identify trees
  • Training the neural net using custom-generated data sets from our fixed-wing platform

Our group is predominantly engineering students, but we are open to all majors. Students in the group work in small teams or subteams with a high degree of autonomy. We meet as a large group (~20+ students) monthly, and as subteams weekly or biweekly. Students can participate in 2XXX or a 4XXX for-credit undergraduate research course.

Ideal candidates will have the following skills or knowledge
  • Proficient at coding in MATLAB, C++, and/or Python
  • Experience in image processing
  • Understanding of artificial intelligence or neural networks

Don’t feel you qualify? Apply anyway. What’s the worst that could happen? We are looking for dedicated and driven team members.

Please find a Q&A video at the following link -

To apply, please following the instructions listed in this document - link