Niklas Hanselmann

According to our database, Niklas Hanselmann authored at least 10 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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

David Holtz, Niklas Hanselmann, Simon Doll, Marius Cordts, Bernt Schiele

CoRR, March, 2026

2025

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

Niklas Hanselmann, Simon Doll, Marius Cordts, Hendrik P. A. Lensch, Andreas Geiger

IEEE Robotics Autom. Lett., June, 2025

AGO: Adaptive Grounding for Open World 3D Occupancy Prediction.

Peizheng Li, Shuxiao Ding, You Zhou, Qingwen Zhang, Onat Inak, Larissa Triess, Niklas Hanselmann, Marius Cordts, Andreas Zell

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

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

Simon Doll, Niklas Hanselmann, Lukas Schneider, Richard Schulz, Markus Enzweiler, Hendrik P. A. Lensch

IEEE Robotics Autom. Lett., February, 2024

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

Simon Doll, Niklas Hanselmann, Lukas Schneider, Richard Schulz, Marius Cordts, Markus Enzweiler, Hendrik P. A. Lensch

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

Peizheng Li, Shuxiao Ding, Xieyuanli Chen, Niklas Hanselmann, Marius Cordts, Juergen Gall

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

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

Andong Tan, Niklas Hanselmann, Shuxiao Ding, Federico Tombari, Marius Cordts

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

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

Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation.

Niklas Hanselmann, Nick Schneider, Benedikt Ortelt, Andreas Geiger

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

2020

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

Nils Gählert, Niklas Hanselmann, Uwe Franke, Joachim Denzler

CoRR, 2020