| Semantickitti: A dataset for semantic scene understanding of lidar sequences J Behley, M Garbade, A Milioto, J Quenzel, S Behnke, C Stachniss, J Gall Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 1766 | 2019 |
| RangeNet++: Fast and Accurate LiDAR Semantic Segmentation A Milioto, I Vizzo, J Behley, C Stachniss IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2019 | 1030 | 2019 |
| Real-time semantic segmentation of crop and weed for precision agriculture robots leveraging background knowledge in cnns A Milioto, P Lottes, C Stachniss Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2018 | 488 | 2018 |
| Suma++: Efficient lidar-based semantic slam X Chen, A Milioto, E Palazzolo, P Giguere, J Behley, C Stachniss 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 416 | 2019 |
| Fully convolutional networks with sequential information for robust crop and weed detection in precision farming P Lottes, J Behley, A Milioto, C Stachniss IEEE Robotics and Automation Letters 3 (4), 2870-2877, 2018 | 278 | 2018 |
| OverlapNet: Loop closing for LiDAR-based SLAM X Chen, T Läbe, A Milioto, T Röhling, O Vysotska, A Haag, J Behley, ... arXiv preprint arXiv:2105.11344, 2021 | 234 | 2021 |
| Real-Time Blob-Wise Sugar Beets vs Weeds Classification for Monitoring Fields Using Convolutional Neural Networks A Milioto, P Lottes, C Stachniss ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences 4, 2017 | 187 | 2017 |
| Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset J Behley, M Garbade, A Milioto, J Quenzel, S Behnke, J Gall, C Stachniss The International Journal of Robotics Research 40 (8-9), 959-967, 2021 | 113 | 2021 |
| Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs A Milioto, C Stachniss IEEE Int. Conf. on Robotics & Automation (ICRA), 2019, 2019 | 103 | 2019 |
| OverlapNet: A siamese network for computing LiDAR scan similarity with applications to loop closing and localization X Chen, T Läbe, A Milioto, T Röhling, J Behley, C Stachniss Autonomous Robots, 1-21, 2022 | 99 | 2022 |
| Building an aerial–ground robotics system for precision farming: an adaptable solution A Pretto, S Aravecchia, W Burgard, N Chebrolu, C Dornhege, T Falck, ... IEEE Robotics & Automation Magazine 28 (3), 29-49, 2020 | 95 | 2020 |
| Lidar panoptic segmentation for autonomous driving A Milioto, J Behley, C McCool, C Stachniss 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 93 | 2020 |
| Joint stem detection and crop-weed classification for plant-specific treatment in precision farming P Lottes, J Behley, N Chebrolu, A Milioto, C Stachniss 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 88 | 2018 |
| Ocean eddy identification and tracking using neural networks K Franz, R Roscher, A Milioto, S Wenzel, J Kusche Igarss 2018-2018 IEEE international geoscience and remote sensing symposium …, 2018 | 86 | 2018 |
| Robust joint stem detection and crop‐weed classification using image sequences for plant‐specific treatment in precision farming P Lottes, J Behley, N Chebrolu, A Milioto, C Stachniss Journal of Field Robotics, 2019 | 82 | 2019 |
| Deep compression for dense point cloud maps L Wiesmann, A Milioto, X Chen, C Stachniss, J Behley IEEE Robotics and Automation Letters 6 (2), 2060-2067, 2021 | 70 | 2021 |
| Domain transfer for semantic segmentation of LiDAR data using deep neural networks F Langer, A Milioto, A Haag, J Behley, C Stachniss 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 64 | 2020 |
| A benchmark for lidar-based panoptic segmentation based on kitti J Behley, A Milioto, C Stachniss 2021 IEEE International Conference on Robotics and Automation (ICRA), 13596 …, 2021 | 63 | 2021 |
| Detection of single grapevine berries in images using fully convolutional neural networks L Zabawa, A Kicherer, L Klingbeil, A Milioto, R Topfer, H Kuhlmann, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 54 | 2019 |
| Joint plant instance detection and leaf count estimation for in-field plant phenotyping J Weyler, A Milioto, T Falck, J Behley, C Stachniss IEEE Robotics and Automation Letters 6 (2), 3599-3606, 2021 | 46 | 2021 |
Cyrill StachnissProfessor for Photogrammetry & Robotics, University of Bonn在 igg.uni-bonn.de 的电子邮件经过验证
