Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Ramakrishna, Shreyas"'
Autor:
Ramakrishna, Shreyas, Schmidt, Riaan P., Peshkov, Anton A., Franke-Arnold, Sonja, Surzhykov, Andrey, Fritzsche, Stephan
During recent years interest has been rising for applications of vector light beams towards magnetic field sensing. In particular, a series of experiments were performed to extract information about properties of static magnetic fields from absorptio
Externí odkaz:
http://arxiv.org/abs/2407.17991
Autor:
Luo, Baiting, Ramakrishna, Shreyas, Pettet, Ava, Kuhn, Christopher, Karsai, Gabor, Mukhopadhyay, Ayan
Learning Enabled Components (LEC) have greatly assisted cyber-physical systems in achieving higher levels of autonomy. However, LEC's susceptibility to dynamic and uncertain operating conditions is a critical challenge for the safety of these systems
Externí odkaz:
http://arxiv.org/abs/2302.09750
Despite recent advances in autonomous driving systems, accidents such as the fatal Uber crash in 2018 show these systems are still susceptible to edge cases. Such systems must be thoroughly tested and validated before being deployed in the real world
Externí odkaz:
http://arxiv.org/abs/2208.06309
Autonomous Cyber-Physical Systems must often operate under uncertainties like sensor degradation and shifts in the operating conditions, which increases its operational risk. Dynamic Assurance of these systems requires designing runtime safety compon
Externí odkaz:
http://arxiv.org/abs/2202.13510
Efficient Out-of-Distribution Detection Using Latent Space of $\beta$-VAE for Cyber-Physical Systems
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 state-space and learn compact surrogate representations of the operation
Externí odkaz:
http://arxiv.org/abs/2108.11800
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 erroneous predictions to anomalous inputs, which manifests either due
Externí odkaz:
http://arxiv.org/abs/2103.14172
Autor:
Hartsell, Charles, Ramakrishna, Shreyas, Dubey, Abhishek, Stojcsics, Daniel, Mahadevan, Nagabhushan, Karsai, Gabor
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 arise due to distribution shifts, environmental context, or failure o
Externí odkaz:
http://arxiv.org/abs/2102.09419
Safety Case has become an integral component for safety-certification in various Cyber Physical System domains including automotive, aviation, medical devices, and military. The certification processes for these systems are stringent and require robu
Externí odkaz:
http://arxiv.org/abs/2003.05388
Autor:
Sundar, Vijaya Kumar, Ramakrishna, Shreyas, Rahiminasab, Zahra, Easwaran, Arvind, Dubey, Abhishek
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 components are trained with large image datasets with multimodal factor
Externí odkaz:
http://arxiv.org/abs/2003.08740
Cyber Physical Systems (CPS) have increasingly started using Learning Enabled Components (LECs) for performing perception-based control tasks. The simple design approach, and their capability to continuously learn has led to their widespread use in d
Externí odkaz:
http://arxiv.org/abs/1902.02432