| Probabilistic trajectory prediction with Gaussian mixture models J Wiest, M Höffken, U Kreßel, K Dietmayer 2012 IEEE Intelligent vehicles symposium, 141-146, 2012 | 402 | 2012 |
| Autonomous driving at Ulm University: A modular, robust, and sensor-independent fusion approach F Kunz, D Nuss, J Wiest, H Deusch, S Reuter, F Gritschneder, A Scheel, ... 2015 IEEE intelligent vehicles symposium (IV), 666-673, 2015 | 147 | 2015 |
| A random finite set approach to multiple lane detection H Deusch, J Wiest, S Reuter, M Szczot, M Konrad, K Dietmayer 2012 15th International IEEE Conference on Intelligent Transportation …, 2012 | 92 | 2012 |
| Real-time multi-object tracking using random finite sets S Reuter, B Wilking, J Wiest, M Munz, K Dietmayer IEEE Transactions on Aerospace and Electronic Systems 49 (4), 2666-2678, 2013 | 51 | 2013 |
| Multi-sensor self-localization based on maximally stable extremal regions H Deusch, S Reuter, D Nuss, M Fritzsche, K Dietmayer 2014 IEEE Intelligent Vehicles Symposium Proceedings, 555-560, 2014 | 49 | 2014 |
| A probabilistic maneuver prediction framework for self-learning vehicles with application to intersections J Wiest, M Karg, F Kunz, S Reuter, U Kreßel, K Dietmayer 2015 IEEE Intelligent Vehicles Symposium (IV), 349-355, 2015 | 29 | 2015 |
| Localization based on region descriptors in grid maps J Wiest, H Deusch, D Nuss, S Reuter, M Fritzsche, K Dietmayer 2014 IEEE Intelligent Vehicles Symposium Proceedings, 793-799, 2014 | 29 | 2014 |
| Incorporating categorical information for enhanced probabilistic trajectory prediction J Wiest, F Kunz, U Kressel, K Dietmayer 2013 12th international conference on machine learning and applications 1 …, 2013 | 28 | 2013 |
| Decision-free true positive estimation with grid maps for multi-object tracking D Nuss, B Wilking, J Wiest, H Deusch, S Reuter, K Dietmayer 16th International IEEE Conference on Intelligent Transportation Systems …, 2013 | 25 | 2013 |
| Generating environmental input encoding for training neural networks J Wiest, M Goldszmidt, TM Gindele US Patent 11,537,134, 2022 | 18 | 2022 |
| Feature-based mapping and self-localization for road vehicles using a single grayscale camera M Stuebler, J Wiest, K Dietmayer 2015 IEEE Intelligent Vehicles Symposium (IV), 267-272, 2015 | 17 | 2015 |
| Statistical long-term motion prediction J Wiest Universität Ulm, Institut für Mess-, Regel-und Mikrotechnik, 2016 | 12 | 2016 |
| Processing graph representations of tactical maps using neural networks M Levihn, J Wiest, PT Raiko, AK Akametalu US Patent 11,555,706, 2023 | 11 | 2023 |
| Manifold-based motion prediction C Hermes, J Wiest, C Wöhler, U Kressel, F Kummert Proc. 6. Dortmunder Auto-Tag, 2011 | 10 | 2011 |
| Current Challenges in Vision-Based Driver Assistance. R Klette, T Vaudrey, J Wiest, R Haeusler, R Jiang, S Morales IWCIA Special Track on Applications, 3-22, 2009 | 7 | 2009 |
| Current work in the. enpeda.. project J Morris, R Haeusler, R Jiang, K Jawed, R Kalarot, T Khan, W Khan, ... 2009 24th international conference image and vision computing new zealand …, 2009 | 5 | 2009 |
| Synchronized submanifold embedding for robust and real-time capable head pose detection based on range images M Höffken, T Wang, J Wiest, U Kreßel, K Dietmayer 2013 International Conference on 3D Vision-3DV 2013, 167-174, 2013 | 4 | 2013 |
| Graph Representation Querying of Machine Learning Models for Traffic or Safety Rules M Levihn, J Wiest, PT Raiko, AK Akametalu US Patent App. 18/069,921, 2023 | 3 | 2023 |
| A Confidence Measure for Feature-based Localization using Random Finite Sets M Stübler, J Wiest, S Reuter, K Dietmayer 10. Uni-DAS eV Workshop Fahrerassistenzsysteme, 139-148, 2015 | 2 | 2015 |
| MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains G Yin, H Bai, S Ma, F Nan, Y Sun, Z Xu, S Ma, J Lu, X Kong, A Zhang, ... arXiv preprint arXiv:2407.18961, 2024 | | 2024 |
Klaus DietmayerProfessor für Mess- und Regelungstechnik在 uni-ulm.de 的电子邮件经过验证
