7 papers
Risk-Aware Scene Sampling for Dynamic Assurance of Autonomous Systems
Shreyas Ramakrishna, Baiting Luo, Yogesh Barve +2
Autonomous Cyber-Physical Systems must often operate under uncertainties like sensor degradation and shifts in the operating conditions, which increases its operational risk. Dynam…
Efficient Out-of-Distribution Detection Using Latent Space of -VAE for Cyber-Physical Systems
Shreyas Ramakrishna, Zahra Rahiminasab, Gabor Karsai +2
Deep Neural Networks are actively being used in the design of autonomous Cyber-Physical Systems (CPSs). The advantage of these models is their ability to handle high-dimensional st…
ReSonAte: A Runtime Risk Assessment Framework for Autonomous Systems
Charles Hartsell, Shreyas Ramakrishna, Abhishek Dubey +3
Autonomous CPSs are often required to handle uncertainties and self-manage the system operation in response to problems and increasing risk in the operating paradigm. This risk may…
Deep-RBF Networks for Anomaly Detection in Automotive Cyber-Physical Systems
Matthew Burruss, Shreyas Ramakrishna, Abhishek Dubey
Deep Neural Networks (DNNs) are popularly used for implementing autonomy related tasks in automotive Cyber-Physical Systems (CPSs). However, these networks have been shown to make…
A Methodology for Automating Assurance Case Generation
Shreyas Ramakrishna, Charles Hartsell, Abhishek Dubey +2
Safety Case has become an integral component for safety-certification in various Cyber Physical System domains including automotive, aviation, medical devices, and military. The ce…
Out-of-Distribution Detection in Multi-Label Datasets using Latent Space of -VAE
Vijaya Kumar Sundar, Shreyas Ramakrishna, Zahra Rahiminasab +2
Learning Enabled Components (LECs) are widely being used in a variety of perception based autonomy tasks like image segmentation, object detection, end-to-end driving, etc. These c…