Siamese Networks for Autonomous Classification of Battlefield Ground Vehicles Using Acoustic Data
Dec 1, 2023·,,,,
,·
0 min read
Yao Houkpati
Kenneth M'Bale
Marvin Conn
Geoffrey Goldman
Tung-Duong Tran-Luu
Sreenivasan Ramasamy Ramamurthy
Darsana Josyula
Abstract
We employ Siamese neural networks for autonomous classification of battlefield ground vehicles from acoustic signatures, demonstrating that pairwise similarity learning yields strong few-shot recognition performance across vehicle classes.
Type
Publication
2023 International Conference on Computational Science and Computational Intelligence (CSCI)
Authors
Assistant Professor (Tenure-Track) of Computer Science
Sreenivasan Ramasamy Ramamurthy is an Assistant Professor (Tenure-Track) of Computer Science at Bowie State University. His research interests include Human-Centered Intelligent Systems, Embodied AI and Robotics, Edge Intelligence, and Human-Machine Teaming. He received his Ph.D. in Information Systems from UMBC, a Master’s in Biomedical Engineering from VIT University, and a Bachelor’s in Electronics and Instrumentation Engineering from Amrita Vishwa Vidyapeetham. He is a recipient of grants from NAVAIR, Army Research Laboratory, and the Department of Energy in support of his research.