| SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences J Behley, M Garbade, A Milioto, J Quenzel, S Behnke, C Stachniss, J Gall IEEE/CVF Intl. Conf. on Computer Vision (ICCV), 2019 | 2908 | 2019 |
| RangeNet++: Fast and Accurate LiDAR Semantic Segmentation A Milioto, I Vizzo, J Behley, C Stachniss IEEE/RSJ Int. Conf. Intell. Robots and Systems (IROS), 2019 | 1559 | 2019 |
| SuMa++: Efficient LiDAR-based Semantic SLAM X Chen, A Milioto, E Palazzolo, P Giguère, J Behley, C Stachniss IEEE/RSJ Int. Conf. Intell. Robots and Systems (IROS), 4530-4537, 2019 | 661 | 2019 |
| Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments J Behley, C Stachniss Robotics: Science and Systems (RSS), 2018 | 630 | 2018 |
| KISS-ICP: In Defense of Point-to-Point ICP–Simple, Accurate, and Robust Registration If Done the Right Way I Vizzo, T Guadagnino, B Mersch, L Wiesmann, J Behley, C Stachniss IEEE Robotics and Automation Letters 8 (2), 1029-1036, 2023 | 540 | 2023 |
| Refusion: 3d reconstruction in dynamic environments for RGB-D cameras exploiting residuals E Palazzolo, J Behley, P Lottes, P Giguere, C Stachniss IEEE/RSJ Int. Conf. Intell. Robots and Systems (IROS), 2019 | 342 | 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 | 336 | 2018 |
| OverlapNet: Loop Closing for LiDAR-based SLAM X Chen, T Läbe, A Milioto, T Röhling, O Vysotska, A Haag, J Behley, ... Robotics:Science and Systems (RSS), 2020 | 333 | 2020 |
| Moving object segmentation in 3D LiDAR data: A learning-based approach exploiting sequential data X Chen, S Li, B Mersch, L Wiesmann, J Gall, J Behley, C Stachniss IEEE Robotics and Automation Letters 6 (4), 6529-6536, 2021 | 275 | 2021 |
| 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 | 205 | 2021 |
| Range image-based LiDAR localization for autonomous vehicles X Chen, I Vizzo, T Läbe, J Behley, C Stachniss IEEE International Conference on Robotics and Automation (ICRA), 5802-5808, 2021 | 183 | 2021 |
| 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 46 (1), 61-81, 2022 | 170 | 2022 |
| Performance of Histogram Descriptors for the Classification of 3D Laser Range Data in Urban Environments J Behley, V Steinhage, AB Cremers IEEE International Conference on Robotics and Automation (ICRA), 4391-4398, 2012 | 151 | 2012 |
| Poisson surface reconstruction for LiDAR odometry and mapping I Vizzo, X Chen, N Chebrolu, J Behley, C Stachniss 2021 IEEE international conference on robotics and automation (ICRA), 5624-5630, 2021 | 144 | 2021 |
| Laser-based segment classification using a Mixture of Bag-of-Words J Behley, V Steinhage, AB Cremers IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2013 | 129 | 2013 |
| Automatic labeling to generate training data for online LiDAR-based moving object segmentation X Chen, B Mersch, L Nunes, R Marcuzzi, I Vizzo, J Behley, C Stachniss IEEE Robotics and Automation Letters 7 (3), 6107-6114, 2022 | 127 | 2022 |
| Vdbfusion: Flexible and efficient tsdf integration of range sensor data I Vizzo, T Guadagnino, J Behley, C Stachniss Sensors 22 (3), 1296, 2022 | 122 | 2022 |
| Receding moving object segmentation in 3d lidar data using sparse 4d convolutions B Mersch, X Chen, I Vizzo, L Nunes, J Behley, C Stachniss IEEE Robotics and Automation Letters 7 (3), 7503-7510, 2022 | 121 | 2022 |
| 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 | 118 | 2021 |
| LiDAR Panoptic Segmentation for Autonomous Driving A Milioto, J Behley, C McCool, C Stachniss IEEE/RSJ Int. Conf. Intell. Robots and Systems (IROS), 2020 | 118 | 2020 |
Cyrill StachnissProfessor for Photogrammetry & Robotics, University of BonnVerified email at igg.uni-bonn.de
