51 citations · 52 across the 3 of their papers we have counts for
4 papers
Output Type Before Quality: A Standards-Derived XAI Admissibility Rubric for Autonomous-Driving Safety
Abhinaw Priyadershi, Mandar Pitale, Jelena Frtunikj +1
Safety standards for ML-based autonomous driving specify the kind of evidence an assurance case must contain (directed cause-and-effect chains, quantified interventional effects, n…
HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study
Mandar Pitale, Jelena Frtunikj, Abhinaw Priyadershi +2
AI has become integral to safety-critical areas like autonomous driving systems (ADS) and robotics. The architecture of recent autonomous systems are trending toward end-to-end (E2…
Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications
Mandar Pitale, Alireza Abbaspour, Devesh Upadhyay
This paper explores the role and challenges of Artificial Intelligence (AI) algorithms, specifically AI-based software elements, in autonomous driving systems. These AI systems are…
Practical Solutions for Machine Learning Safety in Autonomous Vehicles
Sina Mohseni, Mandar Pitale, Vasu Singh +1
Autonomous vehicles rely on machine learning to solve challenging tasks in perception and motion planning. However, automotive software safety standards have not fully evolved to a…