Andreas Geiger
3 papers · Latest:
Robotics
123D: Unifying Multi-Modal Autonomous Driving Data at Scale
123D is an open-source framework that unifies diverse multi-modal autonomous driving datasets through a single API, enabling scalable data access.
2605.08084
Computer VisionFeed-Forward 3D Scene Modeling: A Problem-Driven Perspective
This survey introduces a problem-driven taxonomy for feed-forward 3D scene modeling, focusing on model design strategies over output representations.
2604.14025
RoboticsFail2Drive: Benchmarking Closed-Loop Driving Generalization
Fail2Drive is a new CARLA benchmark with paired routes and 17 scenario classes to rigorously test and diagnose closed-loop driving generalization under distribution shifts.
2604.08535
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