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Event-based Structured Light for Depth Sensing and Material Differentiation in Forest Canopies
This project will investigate the used of event-camera based depth sensing using structured light in the challenging environment of forest canopies. Additionally, utilizing the unique properties of event cameras, material differentiation based on spectral responses will be developed.
Forest canopies provide unique challenges for robotic sensors. Fine foliage and branches increase sensor noise, and inconsistent illumination and photometric effects reduce sensor accuracy, resulting in poor performance of conventional depth sensors.
Event-based structured light approaches have demonstrated promising results, utilizing the low latency, high dynamic range, and high temporal resolution of event cameras to provide accurate and high-speed depth sensing.
Forest canopies provide unique challenges for robotic sensors. Fine foliage and branches increase sensor noise, and inconsistent illumination and photometric effects reduce sensor accuracy, resulting in poor performance of conventional depth sensors. Event-based structured light approaches have demonstrated promising results, utilizing the low latency, high dynamic range, and high temporal resolution of event cameras to provide accurate and high-speed depth sensing.
The goal of the project is to evaluate and characterize an existing event-based structured light system for depth estimation in cluttered and dense forest canopies. Next, material differentiation (e.g. leaves or branches) should be developed by utilizing the different available wavelengths of the light projector and correlating the resulting event intensity response to an expected spectral response.
The goal of the project is to evaluate and characterize an existing event-based structured light system for depth estimation in cluttered and dense forest canopies. Next, material differentiation (e.g. leaves or branches) should be developed by utilizing the different available wavelengths of the light projector and correlating the resulting event intensity response to an expected spectral response.
Please submit a CV, transcript, and short motivation to Christian Geckeler (cgeckeler (at) ethz (dot) ch) and Manasi Muglikar (muglikar (at) ifi (dot) uzh (dot) ch)
Please submit a CV, transcript, and short motivation to Christian Geckeler (cgeckeler (at) ethz (dot) ch) and Manasi Muglikar (muglikar (at) ifi (dot) uzh (dot) ch)