Undeepvo: Monocular visual odometry through unsupervised deep learning R Li, S Wang, Z Long, D Gu 2018 IEEE international conference on robotics and automation (ICRA), 7286-7291, 2018 | 590 | 2018 |
DeepSLAM: A robust monocular SLAM system with unsupervised deep learning R Li, S Wang, D Gu IEEE Transactions on Industrial Electronics 68 (4), 3577-3587, 2020 | 89 | 2020 |
Indoor relocalization in challenging environments with dual-stream convolutional neural networks R Li, Q Liu, J Gui, D Gu, H Hu IEEE Transactions on Automation Science and Engineering 15 (2), 651-662, 2017 | 83 | 2017 |
Ongoing evolution of visual slam from geometry to deep learning: Challenges and opportunities R Li, S Wang, D Gu Cognitive Computation 10 (6), 875-889, 2018 | 62 | 2018 |
FA-Harris: A fast and asynchronous corner detector for event cameras R Li, D Shi, Y Zhang, K Li, R Li 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 48 | 2019 |
Extracting semantic information from visual data: A survey Q Liu, R Li, H Hu, D Gu Robotics 5 (1), 8, 2016 | 37 | 2016 |
Aggregated deep fisher feature for VHR remote sensing scene classification B Li, W Su, H Wu, R Li, W Zhang, W Qin, S Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 35 | 2019 |
Using unsupervised deep learning technique for monocular visual odometry Q Liu, R Li, H Hu, D Gu Ieee Access 7, 18076-18088, 2019 | 29 | 2019 |
Semantic scene mapping with spatio-temporal deep neural network for robotic applications R Li, D Gu, Q Liu, Z Long, H Hu Cognitive Computation 10, 260-271, 2018 | 23 | 2018 |
Further exploring convolutional neural networks’ potential for land-use scene classification B Li, W Su, H Wu, R Li, W Zhang, W Qin, S Zhang, J Wei IEEE Geoscience and Remote Sensing Letters 17 (10), 1687-1691, 2019 | 21 | 2019 |
Plc-vio: Visual–inertial odometry based on point-line constraints Z Liu, D Shi, R Li, W Qin, Y Zhang, X Ren IEEE Transactions on Automation Science and Engineering 19 (3), 1880-1897, 2021 | 16 | 2021 |
Indoor topological localization based on a novel deep learning technique Q Liu, R Li, H Hu, D Gu Cognitive Computation 12, 528-541, 2020 | 15 | 2020 |
A semantic segmentation based lidar slam system towards dynamic environments R Jian, W Su, R Li, S Zhang, J Wei, B Li, R Huang Intelligent Robotics and Applications: 12th International Conference, ICIRA …, 2019 | 14 | 2019 |
Feature tracking based on line segments with the dynamic and active-pixel vision sensor (DAVIS) K Li, D Shi, Y Zhang, R Li, W Qin, R Li IEEE Access 7, 110874-110883, 2019 | 13 | 2019 |
A novel RGB-D SLAM algorithm based on points and plane-patches R Li, Q Liu, J Gui, D Gu, H Hu 2016 IEEE international conference on automation science and engineering …, 2016 | 12 | 2016 |
Calib-Net: Calibrating the low-cost IMU via deep convolutional neural network R Li, C Fu, W Yi, X Yi Frontiers in Robotics and AI 8, 772583, 2022 | 11 | 2022 |
Data-driven technology in event-based vision R Sun, D Shi, Y Zhang, R Li, R Li Complexity 2021, 1-19, 2021 | 9 | 2021 |
Uncertainty-aware self-improving framework for depth estimation X Nie, D Shi, R Li, Z Liu, X Chen IEEE Robotics and Automation Letters 7 (1), 41-48, 2021 | 8 | 2021 |
An Actor-based Programming Framework for Swarm Robotic Systems W Yi, B Di, R Li, H Dai, X Yi, Y Wang, X Yang 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 | 8 | 2020 |
Building semantic maps for blind people to navigate at home Q Liu, R Li, H Hu, D Gu 2016 8th Computer Science and Electronic Engineering (CEEC), 12-17, 2016 | 8 | 2016 |