Christoph Schöller
Cited by
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What the constant velocity model can teach us about pedestrian motion prediction
C Schöller, V Aravantinos, F Lay, A Knoll
IEEE Robotics and Automation Letters 5 (2), 1696-1703, 2020
Targetless Rotational Auto-Calibration of Radar and Camera for Intelligent Transportation Systems
C Schöller, M Schnettler, A Krämmer, G Hinz, M Bakovic, M Güzet, A Knoll
Intelligent Transportation Systems Conference (ITSC), 2019
Providentia - A Large Scale Sensing System for the Assistance of Autonomous Vehicles
A Krämmer, C Schöller, D Gulati, A Knoll
Robotics: Science and Systems (RSS), Workshop on Scene and Situation …, 2019
Providentia-A Large-Scale Sensor System for the Assistance of Autonomous Vehicles and Its Evaluation
A Krämmer, C Schöller, D Gulati, V Lakshminarasimhan, F Kurz, ...
arXiv preprint arXiv:1906.06789, 2019
Towards real-time lifetime prediction of information diffusion
I Taxidou, A Alzoghbi, PM Fischer, C Schöller
Proceedings of the ACM Web Science Conference, 1-2, 2015
Vorausschauende Wahrnehmung für sicheres automatisiertes Fahren
A Krämmer, C Schöller, F Kurz, D Rosenbaum, A Knoll
Internationales Verkehrswesen 72 (1), 26-31, 2020
Risk-Based Safety Envelopes for Autonomous Vehicles Under Perception Uncertainty
J Bernhard, P Hart, A Sahu, C Schöller, MG Cancimance
arXiv preprint arXiv:2107.09918, 2021
FloMo: Tractable Motion Prediction with Normalizing Flows
C Schöller, A Knoll
arXiv preprint arXiv:2103.03614, 2021
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