| Lpd-net: 3d point cloud learning for large-scale place recognition and environment analysis Z Liu, S Zhou, C Suo, P Yin, W Chen, H Wang, H Li, YH Liu Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 253 | 2019 |
| Enhanced ICP for the registration of large-scale 3D environment models: An experimental study J Han, P Yin, Y He, F Gu Sensors 16 (2), 228, 2016 | 54 | 2016 |
| Adafusion: Visual-lidar fusion with adaptive weights for place recognition H Lai, P Yin, S Scherer IEEE Robotics and Automation Letters 7 (4), 12038-12045, 2022 | 31 | 2022 |
| A multi-domain feature learning method for visual place recognition P Yin, L Xu, X Li, C Yin, Y Li, RA Srivatsan, L Li, J Ji, Y He 2019 International conference on robotics and automation (ICRA), 319-324, 2019 | 28 | 2019 |
| General place recognition survey: Towards the real-world autonomy age P Yin, S Zhao, I Cisneros, A Abuduweili, G Huang, M Milford, C Liu, ... arXiv preprint arXiv:2209.04497, 2022 | 24 | 2022 |
| Fusionvlad: A multi-view deep fusion networks for viewpoint-free 3d place recognition P Yin, L Xu, J Zhang, H Choset IEEE Robotics and Automation Letters 6 (2), 2304-2310, 2021 | 23 | 2021 |
| SeqSphereVLAD: Sequence Matching Enhanced Orientation-invariant Place Recognition P Yin, F Wang, A Egorov, J Hou, J Zhang, H Choset IROS, 2020 | 23 | 2020 |
| Advancing self-supervised monocular depth learning with sparse lidar Z Feng, L Jing, P Yin, Y Tian, B Li Conference on Robot Learning, 685-694, 2022 | 22 | 2022 |
| End-to-end 3D point cloud learning for registration task using virtual correspondences H Wei, Z Qiao, Z Liu, C Suo, P Yin, Y Shen, H Li, H Wang 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 20 | 2020 |
| Fast sequence-matching enhanced viewpoint-invariant 3-D place recognition P Yin, F Wang, A Egorov, J Hou, Z Jia, J Han IEEE Transactions on Industrial Electronics 69 (2), 2127-2135, 2021 | 17 | 2021 |
| Stabilize an unsupervised feature learning for LiDAR-based place recognition P Yin, L Xu, Z Liu, L Li, H Salman, Y He, W Xu, H Wang, H Choset 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 17 | 2018 |
| A multi-modal sensor array for safe human-robot interaction and mapping C Abah, AL Orekhov, GLH Johnston, P Yin, H Choset, N Simaan 2019 International Conference on Robotics and Automation (ICRA), 3768-3774, 2019 | 16 | 2019 |
| Mrs-vpr: a multi-resolution sampling based global visual place recognition method P Yin, RA Srivatsan, Y Chen, X Li, H Zhang, L Xu, L Li, Z Jia, J Ji, Y He 2019 International conference on robotics and automation (ICRA), 7137-7142, 2019 | 13 | 2019 |
| i3dLoc: Image-to-range Cross-domain Localization Robust to Inconsistent Environmental Conditions P Yin, L Xu, J Zhang, C Howie, S Scherer Robotics: Science and Systems, 2021 | 11 | 2021 |
| 360fusionnerf: Panoramic neural radiance fields with joint guidance S Kulkarni, P Yin, S Scherer 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 10 | 2023 |
| ALITA: A large-scale incremental dataset for long-term autonomy P Yin, S Zhao, R Ge, I Cisneros, R Fu, J Zhang, H Choset, S Scherer arXiv preprint arXiv:2205.10737, 2022 | 10 | 2022 |
| PSE-Match: A Viewpoint-free Place Recognition Method with Parallel Semantic Embedding P Yin, L Xu, A Egorov, B Li IEEE Transactions on Intelligent Transportation Systems, 2021 | 10 | 2021 |
| Automerge: A framework for map assembling and smoothing in city-scale environments P Yin, S Zhao, H Lai, R Ge, J Zhang, H Choset, S Scherer IEEE Transactions on Robotics, 2023 | 9 | 2023 |
| Synchronous Adversarial Feature Learning for LiDAR based Loop Closure Detection P Yin, Y He, L Xu, Y Peng, J Han, W Xu 2018 Annual American Control Conference (ACC), 2018 | 9 | 2018 |
| Spherevlad++: Attention-based and signal-enhanced viewpoint invariant descriptor S Zhao, P Yin, G Yi, S Scherer IEEE Robotics and Automation Letters 8 (1), 256-263, 2022 | 6 | 2022 |
Howie ChosetProfessor of Robotics, Carnegie MellonVerified email at cs.cmu.edu
