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RGB-D SLAM for MAV Autonomous Indoor Navigation

The advancement of robotics technology has enabled autonomous execution of many dangerous and complicated tasks. In particular, micro-aerial-
vehicles (MAVs) have gathered interests from different fields: surveillance, search and rescue, remote sensing and photography. However, most of such missions have been conducted outdoor where GPS data is available for localization and control. Maneuvering an MAV indoor autonomously, where GPS is unavailable, remains a challenging problem formulated as Simultaneous Localization and Mapping (SLAM).

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Deep Multi-view Models for Glitch Classification

Bahaadini, S., N. Rohani, S. Coughlin, M. Zevin, V. Kalogera, and A. K. Katsaggelos, "Deep Multi-view Models for Glitch Classification", 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'17), New Orleans, USA, 2017.

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