Search Results for author: Joshua E. Siegel

Found 5 papers, 2 papers with code

The AI Mechanic: Acoustic Vehicle Characterization Neural Networks

no code implementations19 May 2022 Adam M. Terwilliger, Joshua E. Siegel

In a world increasingly dependent on road-based transportation, it is essential to understand vehicles.

Data Augmentation Fault Detection

Surveying Off-Board and Extra-Vehicular Monitoring and Progress Towards Pervasive Diagnostics

no code implementations1 Jul 2020 Joshua E. Siegel, Umberto Coda

We survey the state-of-the-art in offboard diagnostics for vehicles, their occupants, and environments, with particular focus on vibroacoustic approaches.

Management Model Selection

Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks)

1 code implementation24 Mar 2020 Piyush Gupta, Demetris Coleman, Joshua E. Siegel

Automated vehicles' neural networks suffer from overfit, poor generalizability, and untrained edge cases due to limited data availability.

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