Hongjo Kim 
- (2024): Image hashing-based shallow object tracker for construction worker monitoring in scaffolding scenes. In: Automation in Construction, v. 166 (October 2024).
- (2024): Exploring the Long-Term Impact of Preventive Road Treatments on Municipal Highways. In: Journal of Management in Engineering (ASCE), v. 40, n. 4 (July 2024).
- (2023): Self-supervised sub-category exploration for Pseudo label generation. In: Automation in Construction, v. 151 (July 2023).
- (2023): Semi-supervised domain adaptation for segmentation models on different monitoring settings. In: Automation in Construction, v. 149 (May 2023).
- (2023): Context-aware safety assessment system for far-field monitoring. In: Automation in Construction, v. 149 (May 2023).
- (2023): Impact of loss functions on semantic segmentation in far‐field monitoring. In: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 3 (February 2023).
- (2021): Synthetic data generation using building information models. In: Automation in Construction, v. 130 (October 2021).
- (2017): Prediction of Flexible Pavement Deterioration in Relation to Climate Change Using Fuzzy Logic. In: Journal of Infrastructure Systems, v. 23, n. 4 (December 2017).
- (2021): Increasing Reliability of Participatory Sensing for Utility Pole Condition Assessment Using Fuzzy Inference. In: Journal of Construction Engineering and Management, v. 147, n. 1 (January 2021).
- (2019): Encoder–decoder network for pixel‐level road crack detection in black‐box images. In: Computer-Aided Civil and Infrastructure Engineering, v. 34, n. 8 (March 2019).
- (2018): Image retrieval using BIM and features from pretrained VGG network for indoor localization. In: Building and Environment, v. 140 (August 2018).
- (2019): Participatory sensing-based geospatial localization of distant objects for disaster preparedness in urban built environments. In: Automation in Construction, v. 107 (November 2019).
- (2019): Vision-based nonintrusive context documentation for earthmoving productivity simulation. In: Automation in Construction, v. 102 (June 2019).
- (2019): Patch-Based Crack Detection in Black Box Images Using Convolutional Neural Networks. In: Journal of Computing in Civil Engineering, v. 33, n. 3 (May 2019).
- (2018): Detecting Construction Equipment Using a Region-Based Fully Convolutional Network and Transfer Learning. In: Journal of Computing in Civil Engineering, v. 32, n. 2 (March 2018).
- (2016): Vision-Based Object-Centric Safety Assessment Using Fuzzy Inference: Monitoring Struck-By Accidents with Moving Objects. In: Journal of Computing in Civil Engineering, v. 30, n. 4 (July 2016).
- (2016): A framework for pricing the loss of regulating ecosystem services caused by road construction. In: KSCE Journal of Civil Engineering, v. 20, n. 7 (January 2016).
- (2017): Image-based construction hazard avoidance system using augmented reality in wearable device. In: Automation in Construction, v. 83 (November 2017).
- (2017): UAV-based automatic generation of high-resolution panorama at a construction site with a focus on preprocessing for image stitching. In: Automation in Construction, v. 84 (December 2017).
- (2016): Data-driven scene parsing method for recognizing construction site objects in the whole image. In: Automation in Construction, v. 71 (November 2016).
- (2018): 3D reconstruction of a concrete mixer truck for training object detectors. In: Automation in Construction, v. 88 (April 2018).
- (2018): Analyzing context and productivity of tunnel earthmoving processes using imaging and simulation. In: Automation in Construction, v. 92 (August 2018).
Structurae cooperates with
