14 citations · 16 across the 7 of their papers we have counts for
3 papers · 1 filter
Relationally Grounded Latent World Models for Autonomous Driving
Fabian Schmidt, Markus Enzweiler, Abhinav Valada
Latent world models learn predictive representations for autonomous driving, but the relational semantics these states preserve often remain implicit. We investigate whether traffi…
Sensor Configuration Matters: A Systematic Evaluation of Multimodal SLAM on Quadruped Robots
Roberto Corlito, Fabian Schmidt, Nils Seibert +3
Autonomous navigation of quadrupedal robots in diverse environments fundamentally relies on resilient Simultaneous Localization and Mapping (SLAM). While visual-inertial SLAM has m…
LAD-Drive: Bridging Language and Trajectory with Action-Aware Diffusion Transformers
Fabian Schmidt, Karol Fedurko, Markus Enzweiler +1
While multimodal large language models (MLLMs) provide advanced reasoning for autonomous driving, translating their discrete semantic knowledge into continuous trajectories remains…