| Road detection through crf based lidar-camera fusion S Gu, Y Zhang, J Tang, J Yang, H Kong 2019 International Conference on Robotics and Automation (ICRA), 3832-3838, 2019 | 64 | 2019 |
| 3-d lidar+ monocular camera: An inverse-depth-induced fusion framework for urban road detection S Gu, T Lu, Y Zhang, JM Alvarez, J Yang, H Kong IEEE Transactions on Intelligent Vehicles 3 (3), 351-360, 2018 | 61 | 2018 |
| A cascaded lidar-camera fusion network for road detection S Gu, J Yang, H Kong 2021 IEEE international conference on robotics and automation (ICRA), 13308 …, 2021 | 32 | 2021 |
| Two-view fusion based convolutional neural network for urban road detection S Gu, Y Zhang, J Yang, JM Alvarez, H Kong 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 32 | 2019 |
| Integrating dense LiDAR-camera road detection maps by a multi-modal CRF model S Gu, Y Zhang, J Tang, J Yang, JM Alvarez, H Kong IEEE Transactions on Vehicular Technology 68 (12), 11635-11645, 2019 | 27 | 2019 |
| Histograms of the normalized inverse depth and line scanning for urban road detection S Gu, Y Zhang, X Yuan, J Yang, T Wu, H Kong IEEE Transactions on Intelligent Transportation Systems 20 (8), 3070-3080, 2018 | 23 | 2018 |
| Lidar-based urban road detection by histograms of normalized inverse depths and line scanning S Gu, Y Zhang, J Yang, H Kong 2017 European Conference on Mobile Robots (ECMR), 1-6, 2017 | 23 | 2017 |
| Fusion of lidar and camera by scanning in lidar imagery and image-guided diffusion for urban road detection Y Zhang, S Gu, J Yang, MJ Alvarez, H Kong 2018 IEEE Intelligent Vehicles Symposium (IV), 579-584, 2018 | 11 | 2018 |
| Build your own hybrid thermal/EO camera for autonomous vehicle Y Zhang, Y Gao, S Gu, Y Guo, M Liu, Z Sun, Z Hou, H Yang, Y Wang, ... 2019 International Conference on Robotics and Automation (ICRA), 6555-6560, 2019 | 8 | 2019 |
| Semantics-guided moving object segmentation with 3d lidar S Gu, S Yao, J Yang, H Kong arXiv preprint arXiv:2205.03186, 2022 | 3 | 2022 |
| A cylindrical convolution network for dense top-view semantic segmentation with LiDAR point clouds J Lu, S Gu, CZ Xu, H Kong Proceedings of the Asian Conference on Computer Vision, 4648-4664, 2022 | 3 | 2022 |
| Implicit Obstacle Map-driven Indoor Navigation Model for Robust Obstacle Avoidance W Xie, H Jiang, S Gu, J Xie Proceedings of the 31st ACM International Conference on Multimedia, 6785-6793, 2023 | 2 | 2023 |
| Unsupervised Multi-Spectrum Stereo Depth Estimation for All-Day Vision Y Guo, H Kong, S Gu IEEE Transactions on Intelligent Vehicles, 2023 | 1 | 2023 |
| Dense Top-View Semantic Completion with Sparse Guidance and Online Distillation S Gu, J Lu, J Yang, CZ Xu, H Kong IEEE Transactions on Intelligent Vehicles, 2023 | 1 | 2023 |
| Center-Based Decoupled Point-cloud Registration for 6D Object Pose Estimation H Jiang, Z Dang, S Gu, J Xie, M Salzmann, J Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| LiDAR-SGMOS: Semantics-Guided Moving Object Segmentation with 3D LiDAR S Gu, S Yao, J Yang, C Xu, H Kong 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | | 2023 |
