Krasnosky_4December_2017 |
Krasnosky_4December_2017
Graduate School of Oceanography - OCG 695
4 December 2017, 3:30 PM Corless Auditorium
4 December 2017, 3:30 PM Corless Auditorium
In many bathymetric data collection systems, survey patterns are pre-defined and data processing and visualization is largely performed following deployments. Real-time sensor processing has several distinct advantages over the post-processed model. By developing real-time models (map) of the world during vehicle operations, it becomes possible to exploit adaptive sampling techniques and adjust survey patterns on the fly.. Real time data can prove useful in ROV applications, both to validate data integrity and provide better situational awareness for pilots. I have developed a framework for real time mapping within the Bathymetric Laser system software used by the ROV Hercules for structured lighting seafloor mapping. The re-developed software can process, plot and map data at rates exceeding those of acquisition while still achieving sub-centimeter sensor resolution. Additionally, a system to simulate real time vehicle multibeam acoustic data acquisition was developed to generate and test adaptive sampling methods in silico. This simulated system is compatible with the Roman lab autonomous kayak and can be used for further operational testing before deploying on an ROV, AUV, or any generic sensor platform in the field.
Kris Krasnosky earned a BS in Physics from Ohio Wesleyan and a MS in Mechanical Engineering from Drexel University. He entered GSO as a PhD candidate in the spring semester of 2016. His major professor is Dr. Christopher Roman.