4 citations · 4 across the 2 of their papers we have counts for
11 papers
ALOOD: Exploiting Language Representations for LiDAR-based Out-of-Distribution Object Detection
Michael Kösel, Marcel Schreiber, Michael Ulrich +2
LiDAR-based 3D object detection plays a critical role for reliable and safe autonomous driving systems. However, existing detectors often produce overly confident predictions for o…
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…
MGNiceNet: Unified Monocular Geometric Scene Understanding
Markus Schön, Michael Buchholz, Klaus Dietmayer
Monocular geometric scene understanding combines panoptic segmentation and self-supervised depth estimation, focusing on real-time application in autonomous vehicles. We introduce…