Niklas Hanselmann

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Safety Analysis

Top Venues

IEEE Robotics Autom. Lett.

Publications

Simon Doll, Niklas Hanselmann, Lukas Schneider, Richard Schulz, Marius Cordts, Markus Enzweiler, Hendrik P. A. Lensch
DualAD: Disentangling the Dynamic and Static World for End-to-End Driving. CoRR (2024)
Simon Doll, Niklas Hanselmann, Lukas Schneider, Richard Schulz, Markus Enzweiler, Hendrik P. A. Lensch
S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking With Adaptive Spatio-Temporal Appearance Representations. IEEE Robotics Autom. Lett. 9 (2) (2024)
Peizheng Li, Shuxiao Ding, Xieyuanli Chen, Niklas Hanselmann, Marius Cordts, Juergen Gall
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View. CoRR (2023)
Simon Doll, Niklas Hanselmann, Lukas Schneider, Richard Schulz, Markus Enzweiler, Hendrik P. A. Lensch
S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking with Adaptive Spatio-Temporal Appearance Representations. CoRR (2023)
Peizheng Li, Shuxiao Ding, Xieyuanli Chen, Niklas Hanselmann, Marius Cordts, Juergen Gall
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View. IJCAI (2023)
Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients. ECCV (38) (2022)
Andong Tan, Niklas Hanselmann, Shuxiao Ding, Federico Tombari, Marius Cordts
Unsupervised Domain Adaptive Object Detection with Class Label Shift Weighted Local Features. ECCV Workshops (2) (2022)
Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients. CoRR (2022)
Niklas Hanselmann, Nick Schneider, Benedikt Ortelt, Andreas Geiger
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation. IV (2021)
Niklas Hanselmann, Nick Schneider, Benedikt Ortelt, Andreas Geiger
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation. CoRR (2021)
Nils Gählert, Niklas Hanselmann, Uwe Franke, Joachim Denzler
Visibility Guided NMS: Efficient Boosting of Amodal Object Detection in Crowded Traffic Scenes. CoRR (2020)