Qiang Liu

Orcid: 0000-0001-7531-4459

Affiliations:
  • University of Essex, School of Computer Science and Electronic Engineering, Colchester, UK


According to our database1, Qiang Liu authored at least 20 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
SLAM-RAMU: 3D LiDAR-IMU lifelong SLAM with relocalization and autonomous map updating for accurate and reliable navigation.
Ind. Robot, 2024

A Recurrent Approach for Uninterrupted Tracking of Rotor Blades Using Kalman Filter.
IEEE Access, 2024

2023
LIO-Fusion: Reinforced LiDAR Inertial Odometry by Effective Fusion With GNSS/Relocalization and Wheel Odometry.
IEEE Robotics Autom. Lett., March, 2023

RSPMP: real-time semantic perception and motion planning for autonomous navigation of unmanned ground vehicle in off-road environments.
Appl. Intell., March, 2023

Real-Time Elevation Mapping with Bayesian Ground Filling and Traversability Analysis for UGV Navigation.
IROS, 2023

2022
Multimodal Information Fusion for High-Robustness and Low-Drift State Estimation of UGVs in Diverse Scenes.
IEEE Trans. Instrum. Meas., 2022

Pixel-Reasoning-Based Robotics Fine Grasping for Novel Objects with Deep EDINet Structure.
Sensors, 2022

Validation of UK Biobank data for mental health outcomes: A pilot study using secondary care electronic health records.
Int. J. Medical Informatics, 2022

Visual-LiDAR SLAM Based on Unsupervised Multi-channel Deep Neural Networks.
Cogn. Comput., 2022

2021
Med7: A transferable clinical natural language processing model for electronic health records.
Artif. Intell. Medicine, 2021

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

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

2018
Using 3D visual data to build a semantic map for autonomous localization.
PhD thesis, 2018

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

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