Mobile Motion Capture

As augmented reality becomes a major research interest in robotics for communicating data, it is increasingly important that its localization challenges be addressed. This project aims to add an alternative tracking and localization solution using the Google Project Tango device. Our goal was to replace the typical motion capture lab with a mobile system that has theoretically infinite capture volume. We accomplished this using various image processing techniques and robotic software tools. After benchmark testing, we showed that our system could track within 3.2 degrees in orientation and 4 cm in position. Finally, we implemented a robotic following application based on this system that also incorporated a pan-tilt turret for the camera, all of which is mounted on a mobile robot

Acadia Soundscape Analysis

Soundscape research is becoming more important throughout the world as increases in population and technology have introduced damaging sounds into the environment. The objective of this project was to determine the baseline ambient sound levels within Acadia National Park in Maine and compare those levels to a similar 2005 study done by the Department of Transportation. This was accomplished by utilizing modern day technologies capable of recording decibel and frequency levels. Results revealed similar overall decibel averages when compared to those of 2005, but significantly larger percentile readings, possibly suggesting an increase in sound levels since 2005. Furthermore, this study’s redesigned methodology left room for future expansion that the Park or future research teams can use