Ruihao Li

Orcid: 0000-0002-9839-1489

Affiliations:
  • National Innovation Institute of Defense Technology, Artificial Intelligence Research Center, Beijing, China
  • Tianjin Artificial Intelligence Innovation Center, Tianjin, China
  • University of Essex, Colchester, UK (PhD 2018)


According to our database1, Ruihao Li authored at least 31 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
T-ESVO: Improved Event-Based Stereo Visual Odometry via Adaptive Time-Surface and Truncated Signed Distance Function.
Adv. Intell. Syst., September, 2023

Gyro-Net: IMU Gyroscopes Random Errors Compensation Method Based on Deep Learning.
IEEE Robotics Autom. Lett., March, 2023

ESVIO: Event-Based Stereo Visual-Inertial Odometry.
Sensors, February, 2023

An improved Actor-based programming framework for simultaneous management of multiple heterogeneous robot swarms.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Improved Event-Based Dense Depth Estimation via Optical Flow Compensation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
PLC-VIO: Visual-Inertial Odometry Based on Point-Line Constraints.
IEEE Trans Autom. Sci. Eng., 2022

Uncertainty-Aware Self-Improving Framework for Depth Estimation.
IEEE Robotics Autom. Lett., 2022

SCSE-E2VID: Improved event-based video reconstruction with an event camera.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021
DeepSLAM: A Robust Monocular SLAM System With Unsupervised Deep Learning.
IEEE Trans. Ind. Electron., 2021

Calib-Net: Calibrating the Low-Cost IMU via Deep Convolutional Neural Network.
Frontiers Robotics AI, 2021

Data-Driven Technology in Event-Based Vision.
Complex., 2021

Optical Flow Estimation through Fusion Network based on Self-supervised Deep Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

Two-stage Local Spatio-temporal Event Filter based on Adaptive Thresholds.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Further Exploring Convolutional Neural Networks' Potential for Land-Use Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2020

Indoor Topological Localization Based on a Novel Deep Learning Technique.
Cogn. Comput., 2020

An Actor-based Programming Framework for Swarm Robotic Systems.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Aggregated Deep Fisher Feature for VHR Remote Sensing Scene Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Using Unsupervised Deep Learning Technique for Monocular Visual Odometry.
IEEE Access, 2019

Feature Tracking Based on Line Segments With the Dynamic and Active-Pixel Vision Sensor (DAVIS).
IEEE Access, 2019

FA-Harris: A Fast and Asynchronous Corner Detector for Event Cameras.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

A Semantic Segmentation Based Lidar SLAM System Towards Dynamic Environments.
Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019

2018
Visual simultaneous localization and mapping: from geometry to deep learning.
PhD thesis, 2018

Indoor Relocalization in Challenging Environments With Dual-Stream Convolutional Neural Networks.
IEEE Trans Autom. Sci. Eng., 2018

Ongoing Evolution of Visual SLAM from Geometry to Deep Learning: Challenges and Opportunities.
Cogn. Comput., 2018

Semantic Scene Mapping with Spatio-temporal Deep Neural Network for Robotic Applications.
Cogn. Comput., 2018

UnDeepVO: Monocular Visual Odometry Through Unsupervised Deep Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2016
Extracting Semantic Information from Visual Data: A Survey.
Robotics, 2016

Using semantic maps for room recognition to aid visually impaired people.
Proceedings of the 22nd International Conference on Automation and Computing, 2016

Night-time indoor relocalization using depth image with Convolutional Neural Networks.
Proceedings of the 22nd International Conference on Automation and Computing, 2016

Building semantic maps for blind people to navigate at home.
Proceedings of the 2016 8th Computer Science and Electronic Engineering Conference, 2016

A novel RGB-D SLAM algorithm based on points and plane-patches.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016


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