Joshua E. Siegel

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 21

Top Topics

Triangular Mesh

Cooperative Game Theory

Fault Detection

Autonomous Vehicles

Top Venues

Eng. Appl. Artif. Intell.

IEEE Control. Syst. Lett.

ICAT-EGVE (Posters and Demos)

Publications

Kenneth H. Chan, Sol Zilberman, Nick Polanco, Joshua E. Siegel, Betty H. C. Cheng
SafeDriveRL: Combining Non-cooperative Game Theory with Reinforcement Learning to Explore and Mitigate Human-based Uncertainty for Autonomous Vehicles. SEAMS@ICSE (2024)
Mohammadali Saffary, Nishan Inampudi, Joshua E. Siegel
Developing a Taxonomy of Elements Adversarial to Autonomous Vehicles. CoRR (2024)
Piyush Gupta, Demetris Coleman, Joshua E. Siegel
Towards Physically Adversarial Intelligent Networks (PAINs) for Safer Self-Driving. IEEE Control. Syst. Lett. 7 (2023)
Adam M. Terwilliger, Joshua E. Siegel
Improving Misfire Fault Diagnosis with Cascading Architectures via Acoustic Vehicle Characterization. Sensors 22 (20) (2022)
Adam M. Terwilliger, Joshua E. Siegel
The AI Mechanic: Acoustic Vehicle Characterization Neural Networks. CoRR (2022)
Georgios Pappas, Joshua E. Siegel, Jacob Rutkowski, Andrea Schaaf
Game and Simulation Design for Studying Pedestrian-Automated Vehicle Interactions. CoRR (2021)
Joshua E. Siegel, Umberto Coda
Surveying Off-Board and Extra-Vehicular Monitoring and Progress Towards Pervasive Diagnostics. CoRR (2020)
Yongbin Sun, Yue Wang, Ziwei Liu, Joshua E. Siegel, Sanjay E. Sarma
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention. WACV (2020)
Tuukka Mustapää, Juuso Autiosalo, Pekka Nikander, Joshua E. Siegel, Raine Viitala
Digital Metrology for the Internet of Things. GIoTS (2020)
Gregory Falco, Joshua E. Siegel
Assuring Automotive Data and Software Integrity Employing Distributed Hash Tables and Blockchain. CoRR (2020)
Piyush Gupta, Demetris Coleman, Joshua E. Siegel
Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks). CoRR (2020)
Joshua E. Siegel, Aniruddha Das, Yongbin Sun, Shane Pratt
Safe energy savings through context-aware hot water demand prediction. Eng. Appl. Artif. Intell. 90 (2020)
Joshua E. Siegel, Maria F. Beemer, Steven M. Shepard
Automated Non-Destructive Inspection of Fused Filament Fabrication Components Using Thermographic Signal Reconstruction. CoRR (2019)
Joshua E. Siegel, Georgios Pappas, Konstantinos Politopoulos, Yongbin Sun
A gamified simulator and physical platform for self-driving algorithm training and validation. CoRR (2019)
Georgios Pappas, Joshua E. Siegel, Konstantinos Politopoulos
VirtualCar: Virtual Mirroring of IoT-Enabled Avacars in AR, VR and Desktop Applications. ICAT-EGVE (Posters and Demos) (2018)
Joshua E. Siegel, Yongbin Sun, Sanjay E. Sarma
Automotive Diagnostics as a Service: An Artificially Intelligent Mobile Application for Tire Condition Assessment. AIMS (2018)
Joshua E. Siegel, Shane Pratt, Yongbin Sun, Sanjay E. Sarma
Real-time Deep Neural Networks for internet-enabled arc-fault detection. Eng. Appl. Artif. Intell. 74 (2018)
Joshua E. Siegel, Dylan C. Erb, Sanjay E. Sarma
A Survey of the Connected Vehicle Landscape - Architectures, Enabling Technologies, Applications, and Development Areas. IEEE Trans. Intell. Transp. Syst. 19 (8) (2018)
Yongbin Sun, Yue Wang, Ziwei Liu, Joshua E. Siegel, Sanjay E. Sarma
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention. CoRR (2018)
Joshua E. Siegel, Sumeet Kumar, Sanjay E. Sarma
The Future Internet of Things: Secure, Efficient, and Model-Based. IEEE Internet Things J. 5 (4) (2018)
Simon Mayer, Joshua E. Siegel
Conversations with connected vehicles. IOT (2015)