Benjamin Scott Riggan

Works (2)

Updated: July 5th, 2023 14:26

2020 article

Robust Multi-Modal Sensor Fusion: An Adversarial Approach

Roheda, S., Krim, H., & Riggan, B. S. (2020, August 24). IEEE Sensors Journal, Vol. 21, pp. 1885–1896.

By: S. Roheda n, H. Krim n  & B. Riggan*

author keywords: Sensor fusion; Sensor phenomena and characterization; Generators; Sensor systems; Generative adversarial networks; Feature extraction; Multi-modal sensors; target detection; Generative Adversarial Networks (GAN); Event Driven Fusion
topics (OpenAlex): Target Tracking and Data Fusion in Sensor Networks; Remote-Sensing Image Classification; Infrared Target Detection Methodologies
TL;DR: This work exploits selected optimal features from an estimated latent space of data across all modalities, learned via a generative network conditioned on individual sensor modalities and shows that such an approach can achieve automatic system robustness against noisy/damaged sensors. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: January 19, 2021

2014 conference paper

A human factors study of graphical passwords using biometrics

Pattern recognition, gcpr 2014, 8753, 464–475.

By: B. Riggan, W. Snyder, X. Wang & J. Feng

Source: NC State University Libraries
Added: August 6, 2018

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