| Cae-lo: Lidar odometry leveraging fully unsupervised convolutional auto-encoder for interest point detection and feature description D Yin, Q Zhang, J Liu, X Liang, Y Wang, J Maanpää, H Ma, J Hyyppä, ... arXiv preprint arXiv:2001.01354, 2020 | 19 | 2020 |
| Multimodal end-to-end learning for autonomous steering in adverse road and weather conditions J Maanpää, J Taher, P Manninen, L Pakola, I Melekhov, J Hyyppä 2020 25th International Conference on Pattern Recognition (ICPR), 699-706, 2021 | 14 | 2021 |
| Interest point detection from multi‐beam light detection and ranging point cloud using unsupervised convolutional neural network D Yin, Q Zhang, J Liu, X Liang, Y Wang, S Chen, J Maanpää, J Hyyppä, ... IET Image Processing 15 (2), 369-377, 2021 | 4 | 2021 |
| Towards High-Definition Maps: a Framework Leveraging Semantic Segmentation to Improve NDT Map Compression and Descriptivity P Manninen, H Hyyti, V Kyrki, J Maanpää, J Taher, J Hyyppä 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 1 | 2022 |
| Feasibility of hyperspectral single photon LiDAR for robust autonomous vehicle perception J Taher, T Hakala, A Jaakkola, H Hyyti, A Kukko, P Manninen, J Maanpää, ... Sensors 22 (15), 5759, 2022 | 1 | 2022 |
| Leveraging Road Area Semantic Segmentation with Auxiliary Steering Task J Maanpää, I Melekhov, J Taher, P Manninen, J Hyyppä Image Analysis and Processing–ICIAP 2022: 21st International Conference …, 2022 | 1 | 2022 |
| End-to-end deep learning for autonomous steering of self-driving cars J Maanpää | 1 | 2019 |
| Can the Perception Data of Autonomous Vehicles Be Used to Replace Mobile Mapping Surveys?—A Case Study Surveying Roadside City Trees E Hyyppä, P Manninen, J Maanpää, J Taher, P Litkey, H Hyyti, A Kukko, ... Remote Sensing 15 (7), 1790, 2023 | | 2023 |
| Reunoja korostava regularisointi röntgentomografiassa J Maanpää | | 2014 |
