| Deep reinforcement learning for autonomous driving: A survey BR Kiran, I Sobh, V Talpaert, P Mannion, A Sallab, S Yogamani, P Pérez IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2021 | 1858 | 2021 |
| Deep reinforcement learning framework for autonomous driving A Sallab, M Abdou, E Perot, S Yogamani Electronic Imaging, Autonomous Vehicles and Machines (EI AVM), 2017 | 1311 | 2017 |
| WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving S Yogamani, C Hughes, J Horgan, G Sistu, P Varley, D O'Dea, M Uricár, ... IEEE/CVF International Conference on Computer Vision (ICCV), 2019 | 295 | 2019 |
| Deep learning in computer vision: principles and applications M Hassaballah, AI Awad, ( S Yogamani - Book chapter author ) CRC Press, 2020 | 221 | 2020 |
| Deep semantic segmentation for automated driving: Taxonomy, roadmap and challenges M Siam, S Elkerdawy, M Jagersand, S Yogamani IEEE International Conference on Intelligent Transportation Systems (ITSC), 2017 | 217 | 2017 |
| End-to-end deep reinforcement learning for lane keeping assist AE Sallab, M Abdou, E Perot, S Yogamani NeurIPS Workshop on ML for Intelligent Transportation Systems (NeurIPSW), 2017 | 209 | 2017 |
| A comparative study of real-time semantic segmentation for autonomous driving M Siam, M Gamal, M Abdel-Razek, S Yogamani, M Jagersand, H Zhang IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018 | 186 | 2018 |
| Computer vision in automated parking systems: Design, implementation and challenges M Heimberger, J Horgan, C Hughes, J McDonald, S Yogamani Image and Vision Computing Journal (IVC), 2017 | 141 | 2017 |
| RTSeg: Real-time semantic segmentation comparative study M Siam, M Gamal, M Abdel-Razek, S Yogamani, M Jagersand IEEE International Conference on Image Processing (ICIP), 2018 | 140 | 2018 |
| Visual slam for automated driving: Exploring the applications of deep learning S Milz, G Arbeiter, C Witt, B Abdallah, S Yogamani IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018 | 132 | 2018 |
| FuseSeg: Rgb and lidar fusion based 3d semantic segmentation for autonomous driving K El Madawi, H Rashed, A El Sallab, O Nasr, H Kamel, S Yogamani IEEE Intelligent Transportation Systems Conference (ITSC), 2019 | 117 | 2019 |
| FuseModNet: Real-time camera and lidar based moving object detection for robust low-light autonomous driving H Rashed, M Ramzy, V Vaquero, A El Sallab, G Sistu, S Yogamani IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019 | 112 | 2019 |
| MODNet: Motion and appearance based moving object detection network for autonomous driving M Siam, H Mahgoub, M Zahran, S Yogamani, M Jagersand, A El-Sallab International Conference on Intelligent Transportation Systems (ITSC), 2018 | 108 | 2018 |
| MultiNet++: Multi-stream feature aggregation and geometric loss strategy for multi-task learning S Chennupati, G Sistu, S Yogamani, S A Rawashdeh IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019 | 105 | 2019 |
| OmniDet: Surround view cameras based multi-task visual perception network for autonomous driving VR Kumar, S Yogamani, H Rashed, G Sitsu, C Witt, I Leang, S Milz, ... [RA-L + ICRA] IEEE Robotics and Automation Letters + IEEE International …, 2021 | 100 | 2021 |
| Exploring applications of deep reinforcement learning for real-world autonomous driving systems V Talpaert, I Sobh, BR Kiran, P Mannion, S Yogamani, A El-Sallab, ... International Joint Conference on Computer Vision (VISAPP), 2019 | 87 | 2019 |
| SynDistNet: Self-supervised monocular fisheye camera distance estimation synergized with semantic segmentation for autonomous driving VR Kumar, M Klingner, S Yogamani, S Milz, T Fingscheidt, P Mader IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021 | 85 | 2021 |
| Vision-based driver assistance systems: Survey, taxonomy and advances J Horgan, C Hughes, J McDonald, S Yogamani IEEE International Conference on Intelligent Transportation Systems (ITSC), 2015 | 83 | 2015 |
| Generalized object detection on fisheye cameras for autonomous driving: Dataset, representations and baseline H Rashed, E Mohamed, G Sistu, VR Kumar, C Eising, A El-Sallab, ... IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021 | 81 | 2021 |
| FisheyeDistanceNet: Self-supervised scale-aware distance estimation using monocular fisheye camera for autonomous driving VR Kumar, SA Hiremath, M Bach, S Milz, C Witt, C Pinard, S Yogamani, ... IEEE International Conference on Robotics and Automation (ICRA), 2020 | 74 | 2020 |
Varun Ravi KumarPhD | Staff Engineer for Autonomous Driving, Qualcomm在 qti.qualcomm.com 的电子邮件经过验证
