19 citations · 51 across the 13 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
eess.AS2020★ 1 cited
Surveying Off-Board and Extra-Vehicular Monitoring and Progress Towards Pervasive Diagnostics
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. We identify promising app…
cs.LG2020★ 11 cited
Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks)
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. Researchers synthesize randomized edge-ca…
cs.CR2020★ 1 cited
A Distributed `Black Box' Audit Trail Design Specification for Connected and Automated Vehicle Data and Software Assurance
Gregory Falco, Joshua E. Siegel
Automotive software is increasingly complex and critical to safe vehicle operation, and related embedded systems must remain up-to-date to ensure long-term system performance. Upda…