|Autonomous Vineyard Canopy and Yield Estimation
The research project aims to design and demonstrate new sensor technologies for autonomously gathering crop and canopy size estimates from a vineyard -- expediently, precisely, accurately and at high-resolution -- with the goal to improve vineyard efficiency by enabling producers to measure and manage the principal components of grapevine production on an individual vine basis.
This project is developing technology to map riverine environments from a low-flying rotorcraft. Challenges include dealing with varying appearance of the river and surrounding canopy, intermittent GPS and a highly constrained payload. We are developing self-supervised algorithms that can segment images from onboard cameras to determine the course of the river ahead, and we are developing devices and methods capable of mapping the shoreline.
|UAV/UGV Air-Ground Collaboration
This project is concerned with the development of a distributed estimation system of collaborating UAVs (Unmanned Aerial Vehicle) and AGVs (Autonomous Ground Vehicles) that detect, track and estimate the location of a person, vehicle or object of interest on the ground.
|The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.|
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