6 papers
A Graph Neural Network Approach for Solving the Ranked Assignment Problem in Multi-Object Tracking
Robin Dehler, Martin Herrmann, Jan Strohbeck +1
Associating measurements with tracks is a crucial step in Multi-Object Tracking (MOT) to guarantee the safety of autonomous vehicles. To manage the exponentially growing number of…
A Generic Service-Oriented Function Offloading Framework for Connected Automated Vehicles
Robin Dehler, Michael Buchholz
Function offloading is a promising solution to address limitations concerning computational capacity and available energy of Connected Automated Vehicles~(CAVs) or other autonomous…
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…
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…
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…
Globally Optimal GNSS Multi-Antenna Lever Arm Calibration
Thomas Wodtko, Michael Buchholz
Sensor calibration is crucial for autonomous driving, providing the basis for accurate localization and consistent data fusion. Enabling the use of high-accuracy GNSS sensors, this…