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Christoph Schöller
Christoph Schöller
Argo AI
Verified email at argo.ai
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Year
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
243*2020
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, ...
Journal of Field Robotics, 2022
712022
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
432019
Flomo: Tractable motion prediction with normalizing flows
C Schöller, A Knoll
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
152021
Risk-based safety envelopes for autonomous vehicles under perception uncertainty
J Bernhard, P Hart, A Sahu, C Schöller, MG Cancimance
2022 IEEE Intelligent Vehicles Symposium (IV), 104-111, 2022
102022
Vorausschauende Wahrnehmung für sicheres automatisiertes Fahren
A Krämmer, C Schöller, F Kurz, D Rosenbaum, A Knoll
Internationales verkehrswesen, 2020
32020
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
22015
Robust and Probabilistic Motion Prediction for Intelligent Infrastructure Systems
C Schöller
Technische Universität München, 2022
2022
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
2019
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