18 citations · 52 across the 16 of their papers we have counts for
8 papers · 1 filter
An Overview of Sensitivity-Based Distributed Optimization and Model Predictive Control
Maximilian Pierer von Esch, Andreas Völz, Knut Graichen
This paper presents a concise overview of sensitivity-based methods for solving large-scale optimization problems in distributed fashion. The approach relies on sensitivities and p…
Enforcing Convergence in Sensitivity-based Distributed Programming via Transformed Primal-Dual Updates
Maximilian Pierer von Esch, Andreas Völz, Knut Graichen
Sensitivity-based distributed programming (SBDP) is a decomposition method for solving large-scale nonlinear programs over graph-structured networks. However, its convergence depen…
A Concept for Efficient Scalability of Automated Driving Allowing for Technical, Legal, Cultural, and Ethical Differences
Lars Ullrich, Michael Buchholz, Jonathan Petit +2
Efficient scalability of automated driving (AD) is key to reducing costs, enhancing safety, conserving resources, and maximizing impact. However, research focuses on specific vehic…
A New Perspective On AI Safety Through Control Theory Methodologies
Lars Ullrich, Walter Zimmer, Ross Greer +3
While artificial intelligence (AI) is advancing rapidly and mastering increasingly complex problems with astonishing performance, the safety assurance of such systems is a major co…
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning
Lars Ullrich, Zurab Mujirishvili, Knut Graichen
In the trajectory planning of automated driving, data-driven statistical artificial intelligence (AI) methods are increasingly established for predicting the emergent behavior of o…
AI Safety Assurance for Automated Vehicles: A Survey on Research, Standardization, Regulation
Lars Ullrich, Michael Buchholz, Klaus Dietmayer +1
Assuring safety of artificial intelligence (AI) applied to safety-critical systems is of paramount importance. Especially since research in the field of automated driving shows tha…
Sensitivity-Based Distributed Programming for Non-Convex Optimization
Maximilian Pierer von Esch, Andreas Völz, Knut Graichen
This paper presents a novel sensitivity-based distributed programming (SBDP) approach for non-convex, large-scale nonlinear programs (NLP). The algorithm relies on first-order sens…
Expanding the Classical V-Model for the Development of Complex Systems Incorporating AI
Lars Ullrich, Michael Buchholz, Klaus Dietmayer +1
Research in the field of automated vehicles, or more generally cognitive cyber-physical systems that operate in the real world, is leading to increasingly complex systems. Among ot…