Author

Niklas Hanselmann

Observed name: Hanselmann, Niklas

Institutions: Mercedes-Benz (Germany), Max Planck Society, Max Planck Institute for Informatics

Observed institutions: Mercedes-Benz (Germany), Max Planck Society, Max Planck Institute for Informatics, Max Planck Institute for Intelligent Systems, University of Tübingen, Daimler (Germany)

ORCID: 0000-0001-7387-4583

Observed ORCID: 0000-0001-7387-4583

OpenAlex ID: A5052134135

KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients

2022 · Niklas Hanselmann, Katrin Renz, et al. · Lecture notes in computer science · 115

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PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird’s-Eye View

2023 · Peizheng Li, Shuxiao Ding, et al. · International Joint Conference on Artificial Intelligence · 48

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Visibility Guided NMS: Efficient Boosting of Amodal Object Detection in Crowded Traffic Scenes

2020 · Gählert, Nils, Hanselmann, Niklas, et al. · arXiv (Cornell University) · 22

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AGO: Adaptive Grounding for Open World 3D Occupancy Prediction

2025 · Peizheng Li, Shuxiao Ding, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 9

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Dualad: Disentangling the Dynamic and Static World for End-to-End Driving

2024 · Simon Doll, Niklas Hanselmann, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 9

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S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking With Adaptive Spatio-Temporal Appearance Representations

2023 · Simon Doll, Niklas Hanselmann, et al. · IEEE Robotics and Automation Letters · 7

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What Matters for Scalable and Robust Learning in End-to-End Driving Planners?

2026 · Holtz, David, Hanselmann, Niklas, et al. · arXiv (Cornell University) · 5

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Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation

2021 · Niklas Hanselmann, Nick Schneider, et al. · IEEE Intelligent Vehicles Symposium · 3

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Emperror: A Flexible Generative Perception Error Model for Probing Self-Driving Planners

2025 · Niklas Hanselmann, Simon Doll, et al. · IEEE Robotics and Automation Letters · 2

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STADT:up Schlussbericht Mercedes-Benz AG

2026 · Jordan, Julian, Hanselmann, Niklas, et al. · RENATE

What Matters for Scalable and Robust Learning in End-to-End Driving Planners?

2026 · David Holtz, Niklas Hanselmann, et al.

Unsupervised Domain Adaptive Object Detection with Class Label Shift Weighted Local Features

2023 · Andong Tan, Niklas Hanselmann, et al. · Lecture notes in computer science

Works count: 14

Citation count: 220

H-index: 6

I10-index: 3