| A deep learning-based radar and camera sensor fusion architecture for object detection F Nobis, M Geisslinger, M Weber, J Betz, M Lienkamp 2019 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 1-7, 2019 | 274 | 2019 |
| A software architecture for an autonomous racecar J Betz, A Wischnewski, A Heilmeier, F Nobis, T Stahl, L Hermansdorfer, ... 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), 1-6, 2019 | 48 | 2019 |
| What can we learn from autonomous level-5 motorsport? J Betz, A Wischnewski, A Heilmeier, F Nobis, T Stahl, L Hermansdorfer, ... 9th International Munich Chassis Symposium 2018: chassis. tech plus, 123-146, 2019 | 48 | 2019 |
| Indy autonomous challenge-autonomous race cars at the handling limits A Wischnewski, M Geisslinger, J Betz, T Betz, F Fent, A Heilmeier, ... 12th International Munich Chassis Symposium 2021: chassis. tech plus, 163-182, 2022 | 42 | 2022 |
| A software architecture for the dynamic path planning of an autonomous racecar at the limits of handling J Betz, A Wischnewski, A Heilmeier, F Nobis, L Hermansdorfer, T Stahl, ... 2019 IEEE international conference on connected vehicles and expo (ICCVE), 1-8, 2019 | 42 | 2019 |
| Radar voxel fusion for 3D object detection F Nobis, E Shafiei, P Karle, J Betz, M Lienkamp Applied Sciences 11 (12), 5598, 2021 | 36 | 2021 |
| Tum autonomous motorsport: An autonomous racing software for the indy autonomous challenge J Betz, T Betz, F Fent, M Geisslinger, A Heilmeier, L Hermansdorfer, ... Journal of Field Robotics 40 (4), 783-809, 2023 | 35 | 2023 |
| Semanticdepth: Fusing semantic segmentation and monocular depth estimation for enabling autonomous driving in roads without lane lines PR Palafox, J Betz, F Nobis, K Riedl, M Lienkamp Sensors 19 (14), 3224, 2019 | 23 | 2019 |
| Persistent map saving for visual localization for autonomous vehicles: An orb-slam 2 extension F Nobis, O Papanikolaou, J Betz, M Lienkamp 2020 Fifteenth International Conference on Ecological Vehicles and Renewable …, 2020 | 18 | 2020 |
| Kernel point convolution LSTM networks for radar point cloud segmentation F Nobis, F Fent, J Betz, M Lienkamp Applied Sciences 11 (6), 2599, 2021 | 17 | 2021 |
| Autonomous racing: A comparison of SLAM algorithms for large scale outdoor environments F Nobis, J Betz, L Hermansdorfer, M Lienkamp Proceedings of the 2019 3rd international conference on virtual and …, 2019 | 13 | 2019 |
| Exploring the capabilities and limits of 3d monocular object detection-a study on simulation and real world data F Nobis, F Brunhuber, S Janssen, J Betz, M Lienkamp 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 6 | 2020 |
| Importance of Contextual Information for the Detection of Road Damages K Riedl, S Huber, M Bömer, J Kreibich, F Nobis, J Betz 2020 Fifteenth International Conference on Ecological Vehicles and Renewable …, 2020 | 5 | 2020 |
| Autonomous racing F Nobis, J Betz, L Hermansdorfer, M Lienkamp Proceedings of the 2019 3rd International Conference on Virtual and …, 2019 | 2 | 2019 |
| Autonomous driving: Radar sensor noise filtering and multimodal sensor fusion for object detection with artificial neural net-works F Nobis preprint on ResearchGate, 2019 | 2 | 2019 |
| Deep Learning-based Radar, Camera, and Lidar Fusion for Object Detection FOG Nobis Technische Universität München, 2022 | 1 | 2022 |
| Machine Learning-Based Radar Point Cloud Segmentation F Fent | 1 | 2020 |
| S2R-DAD: Sim-to-Real Distribution-Aligned Dataset S Huch, L Scalerandi, E Rivera, M Lienkamp, J Betz, T Betz, F Fent, ... Journal of Field Robotics, 0 | | |
| Autonomous Driving: Object Detection using Neural Networks for Radar and Camera Sensor Fusion F Nobis | | |
