18 citations · 39 across the 6 of their papers we have counts for
7 papers
Toward Fully Autonomous Driving: AI, Challenges, Opportunities, and Needs
Lars Ullrich, Michael Buchholz, Klaus Dietmayer +1
Automated driving (AD) is promising, but the transition to fully autonomous driving is, among other things, subject to the real, ever-changing open world and the resulting challeng…
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…
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…
Dynamic Objective MPC for Motion Planning of Seamless Docking Maneuvers
Oliver Schumann, Michael Buchholz, Klaus Dietmayer
Automated vehicles and logistics robots must often position themselves in narrow environments with high precision in front of a specific target, such as a package or their charging…
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…
The ADUULM-360 Dataset -- A Multi-Modal Dataset for Depth Estimation in Adverse Weather
Markus Schön, Jona Ruof, Thomas Wodtko +2
Depth estimation is an essential task toward full scene understanding since it allows the projection of rich semantic information captured by cameras into 3D space. While the field…