Han Luo
- Correlation Analysis and Prediction of the Physical and Mechanical Properties of Coastal Soft Soil in the Jiangdong New District, Haikou, China. In: Advances in Civil Engineering, v. 2024 (Januar 2024). (2024):
- Full-body pose estimation for excavators based on data fusion of multiple onboard sensors. In: Automation in Construction, v. 147 (März 2023). (2023):
- BIM-supported scan and flight planning for fully autonomous LiDAR-carrying UAVs. In: Automation in Construction, v. 142 (Oktober 2022). (2022):
- Vision-based monitoring of site safety compliance based on worker re-identification and personal protective equipment classification. In: Automation in Construction, v. 139 (Juli 2022). (2022):
- Automatic relative humidity optimization in underground heritage sites through ventilation system based on digital twins. In: Building and Environment, v. 216 (Mai 2022). (2022):
- IMU-based full-body pose estimation for construction machines using kinematics modeling. In: Automation in Construction, v. 138 (Juni 2022). (2022):
- Enriched and discriminative convolutional neural network features for pedestrian re‐identification and trajectory modeling. In: Computer-Aided Civil and Infrastructure Engineering, v. 37, n. 5 (14 März 2022). (2022):
- Fully automated generation of parametric BIM for MEP scenes based on terrestrial laser scanning data. In: Automation in Construction, v. 125 (Mai 2021). (2021):
- Towards an automated condition assessment framework of underground sewer pipes based on closed-circuit television (CCTV) images. In: Tunnelling and Underground Space Technology, v. 110 (April 2021). (2021):
- Construction machine pose prediction considering historical motions and activity attributes using gated recurrent unit (GRU). In: Automation in Construction, v. 121 (Januar 2021). (2021):
- Securing interim payments in construction projects through a blockchain-based framework. In: Automation in Construction, v. 118 (Oktober 2020). (2020):
- Full body pose estimation of construction equipment using computer vision and deep learning techniques. In: Automation in Construction, v. 110 (Februar 2020). (2020):