| Rangenet++: Fast and accurate lidar semantic segmentation A Milioto, I Vizzo, J Behley, C Stachniss 2019 IEEE/RSJ international conference on intelligent robots and systems …, 2019 | 822 | 2019 |
| Range image-based LiDAR localization for autonomous vehicles X Chen, I Vizzo, T Läbe, J Behley, C Stachniss 2021 IEEE International Conference on Robotics and Automation (ICRA), 5802-5808, 2021 | 89 | 2021 |
| 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 | 56 | 2021 |
| 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 | 50 | 2023 |
| 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 | 36 | 2022 |
| Vdbfusion: Flexible and efficient tsdf integration of range sensor data I Vizzo, T Guadagnino, J Behley, C Stachniss Sensors 22 (3), 1296, 2022 | 32 | 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 | 22 | 2022 |
| Contrastive instance association for 4d panoptic segmentation using sequences of 3d lidar scans R Marcuzzi, L Nunes, L Wiesmann, I Vizzo, J Behley, C Stachniss IEEE Robotics and Automation Letters 7 (2), 1550-1557, 2022 | 16 | 2022 |
| Contrastive 3D shape completion and reconstruction for agricultural robots using RGB-D frames F Magistri, E Marks, S Nagulavancha, I Vizzo, T Läebe, J Behley, ... IEEE Robotics and Automation Letters 7 (4), 10120-10127, 2022 | 12 | 2022 |
| Dcpcr: Deep compressed point cloud registration in large-scale outdoor environments L Wiesmann, T Guadagnino, I Vizzo, G Grisetti, J Behley, C Stachniss IEEE Robotics and Automation Letters 7 (3), 6327-6334, 2022 | 5 | 2022 |
| Locndf: Neural distance field mapping for robot localization L Wiesmann, T Guadagnino, I Vizzo, N Zimmerman, Y Pan, H Kuang, ... IEEE Robotics and Automation Letters, 2023 | 3 | 2023 |
| Make it dense: Self-supervised geometric scan completion of sparse 3d lidar scans in large outdoor environments I Vizzo, B Mersch, R Marcuzzi, L Wiesmann, J Behley, C Stachniss IEEE Robotics and Automation Letters 7 (3), 8534-8541, 2022 | 2 | 2022 |
| Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation B Mersch, T Guadagnino, X Chen, I Vizzo, J Behley, C Stachniss IEEE Robotics and Automation Letters, 2023 | | 2023 |
| Toward Reproducible Version-Controlled Perception Platforms: Embracing Simplicity in Autonomous Vehicle Dataset Acquisition I Vizzo, L Wiesmann, B Mersch, T Guadagnino, L Nunes, C Stachniss | | |
Cyrill StachnissProfessor for Photogrammetry & Robotics, University of BonnVerified email at igg.uni-bonn.de
