| Criticality metrics for automated driving: A review and suitability analysis of the state of the art L Westhofen, C Neurohr, T Koopmann, M Butz, B Schütt, F Utesch, ... Archives of Computational Methods in Engineering 30 (1), 1-35, 2023 | 87 | 2023 |
| SceML: A graphical modeling framework for scenario-based testing of autonomous vehicles B Schütt, T Braun, S Otten, E Sax Proceedings of the 23rd ACM/IEEE International Conference on Model Driven …, 2020 | 35 | 2020 |
| A taxonomy for quality in simulation-based development and testing of automated driving systems B Schütt, M Steimle, B Kramer, D Behnecke, E Sax IEEE Access 10, 18631-18644, 2022 | 22 | 2022 |
| An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios B Schütt, M Heinrich, S Marahrens, JM Zöllner, E Sax Proceedings of the 8th International Conference on Vehicle Technology and …, 2022 | 10 | 2022 |
| Towards an ontology that reconciles the operational design domain, scenario-based testing, and automated vehicle architectures J Erz, B Schütt, T Braun, H Guissouma, E Sax 2022 IEEE international systems conference (SYSCON), 1-8, 2022 | 9 | 2022 |
| 1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey B Schütt, J Ransiek, T Braun, E Sax 2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023 | 7 | 2023 |
| Fingerprint of a traffic scene: an approach for a generic and independent scene assessment B Schütt, M Zipfl, JM Zöllner, E Sax 2022 International Conference on Electrical, Computer, Communications and …, 2022 | 7* | 2022 |
| User QoE influenced spectrum trade, resource allocation, and network selection MA Khan, H Tembine, F Sivrikaya, S Albayrak, BU Konz International Journal of Wireless Information Networks 18, 193-209, 2011 | 5 | 2011 |
| Inverse Universal Traffic Quality - a Criticality Metric for Crowded Urban Traffic Scenes B Schütt, M Zipfl, JM Zöllner, eric Sax 2023 IEEE Intelligent Vehicles Symposium (IV), 1-7, 2023 | 4 | 2023 |
| Generation of Adversarial Trajectories using Reinforcement Learning to Test Motion Planning Algorithms J Ransiek, B Schütt, A Hof, E Sax 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 1 | 2023 |
| Clustering-based Criticality Analysis for Testing of Automated Driving Systems B Schütt, S Otten, E Sax ITSC 2023, 2023 | 1* | 2023 |
| Scene-Extrapolation: Generating Interactive Traffic Scenarios M Zipfl, B Schütt, JM Zöllner arXiv preprint arXiv:2404.17224, 2024 | | 2024 |
| Evolutionary Behavior Tree Generation for Dynamic Scenario Creation in Testing of Automated Driving Systems B Schütt, M Zhang, C Steinhauser, E Sax 2023 7th International Conference on System Reliability and Safety (ICSRS …, 2023 | | 2023 |
| A Review of Scenario Similarity Measures for Validation of Highly Automated Driving T Braun, J Fuchs, F Reisgys, L Ries, J Plaum, B Schütt, E Sax 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
Eric SaxKarlsruhe Institute for Technology在 kit.edu 的电子邮件经过验证
