Christian Haase-Schütz
Orcid: 0000-0003-4171-9305Affiliations:
- Robert Bosch GmbH, Abstatt, Germany
- Karlsruhe Institute of Technology, Institute of Radio Frequency Engineering and Electronics, Germany
According to our database1,
Christian Haase-Schütz
authored at least 6 papers
between 2019 and 2023.
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Bibliography
2023
Deep learning based multi-modal perception and semi-automatic labelling algorithms for automotive sensor data.
PhD thesis, 2023
2021
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges.
IEEE Trans. Intell. Transp. Syst., 2021
2020
Trust Your Model: Iterative Label Improvement and Robust Training by Confidence Based Filtering and Dataset Partitioning.
CoRR, 2020
Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges.
CoRR, 2019
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019