Research output per year
Research output per year
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Dive into the research topics where J.F. Schumann is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Extended Abstract: Benchmarking Behavior Prediction Models in Gap Acceptance Scenarios
Schumann, J. F., Kober, J. & Zgonnikov, A., 2024, Proceedings of the 35th IEEE Intelligent Vehicles Symposium, IV 2024. IEEE, p. 3148 1 p. (IEEE Intelligent Vehicles Symposium, Proceedings).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile -
Robustness in trajectory prediction for autonomous vehicles: a survey
Hagenus, J., Mathiesen, F. B., Schumann, J. F. & Zgonnikov, A., 2024, Proceedings of the 35th IEEE Intelligent Vehicles Symposium, IV 2024. IEEE, p. 969-976 8 p. (IEEE Intelligent Vehicles Symposium, Proceedings).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile10 Downloads (Pure) -
ROME: Robust Multi-Modal Density Estimator
Mészáros, A., Schumann, J. F., Alonso-Mora, J., Zgonnikov, A. & Kober, J., 2024, Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence. Larson, K. (ed.). International Joint Conferences on Artifical Intelligence (IJCAI), p. 4751-4759 9 p.Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile85 Downloads (Pure) -
TrajFlow: Learning Distributions over Trajectories for Human Behavior Prediction
Mészáros, A., Schumann, J. F., Alonso-Mora, J., Zgonnikov, A. & Kober, J., 2024, Proceddings of the 35th IEEE Intelligent Vehicles Symposium, IV 2024. IEEE, p. 184-191 8 p. (IEEE Intelligent Vehicles Symposium, Proceedings).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile3 Downloads (Pure) -
Benchmarking Behavior Prediction Models in Gap Acceptance Scenarios
Schumann, J. F., Kober, J. & Zgonnikov, A., 2023, In: IEEE Transactions on Intelligent Vehicles. 8, 3, p. 2580-2591Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile8 Citations (Scopus)86 Downloads (Pure)
Datasets
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Data underlying the publication: Robust Multi-Modal Density Estimation
Schumann, J. F. (Creator) & Mészáros, A. (Creator), TU Delft - 4TU.ResearchData, 14 Feb 2024
DOI: 10.4121/61f283ae-c30c-42d1-9a7c-89b454e013b3
Dataset/Software: Dataset
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Data and Results for the Benchmark of Gap Acceptance Models
Schumann, J. F. (Creator), TU Delft - 4TU.ResearchData, 17 Oct 2022
DOI: 10.4121/21334548
Dataset/Software: Dataset