Niklas Hanselmann
Scholar

Niklas Hanselmann

Google Scholar ID: hm2FFlsAAAAJ
Mercedes-Benz AG R&D & University of Tuebingen
Computer VisionDeep LearningGenerative ModelsRepresentation Learning
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Citations & Impact
All-time
Citations
236
 
H-index
5
 
i10-index
4
 
Publications
12
 
Co-authors
0
 
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Publications
3 items
What Matters for Scalable and Robust Learning in End-to-End Driving Planners?
2026
Cited
0
AGO: Adaptive Grounding for Open World 3D Occupancy Prediction
2025
Cited
0
Emperror: A Flexible Generative Perception Error Model for Probing Self-Driving Planners
IEEE Robotics and Automation Letters · 2024
Cited
0
Resume (English only)
Co-authors
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Co-authors: 0 (list not available)