Amin Hammad
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View article: Detection of Vegetation Proximity to Power Lines: Critical Review and Research Roadmap
Detection of Vegetation Proximity to Power Lines: Critical Review and Research Roadmap Open
The resilience of power distribution systems is crucial for maintaining the stability and functionality of modern societies. The proximity of natural vegetation to power lines poses significant risks, particularly when combined with advers…
View article: Integrating Ontology and LLMs for Diagnosis and Repair of Concrete Surface Defects
Integrating Ontology and LLMs for Diagnosis and Repair of Concrete Surface Defects Open
This paper explores the integration of a novel Ontology for Concrete Surface Defects (OCSD) with a Large Language Model (LLM), specifically GPT-4o (omni), to enhance defect diagnosis and repair strategies in concrete structures. While LLMs…
View article: Developing an Ontology for Concrete Surface Defects to Enhance Inspection, Diagnosis and Repair Information Modeling
Developing an Ontology for Concrete Surface Defects to Enhance Inspection, Diagnosis and Repair Information Modeling Open
Facility maintenance requires thorough inspections throughout a facility’s lifecycle to ensure structural integrity and longevity. A significant challenge lies in managing the semantic relationships between various inspection data across d…
View article: Ontology for BIM-Based Robotic Navigation and Inspection Tasks
Ontology for BIM-Based Robotic Navigation and Inspection Tasks Open
The availability of inspection robots in the construction and operation phases of buildings has led to expanding the scope of applications and increasing technological challenges. Furthermore, the building information modeling (BIM)-based …
View article: Improving the performance of RRT path planning of excavators by embedding heuristic rules
Improving the performance of RRT path planning of excavators by embedding heuristic rules Open
Improving the safety and productivity of earthwork operations is of paramount importance, especially in congested sites where collisions are more probable. Real-time Location Systems and Automated Machine Guidance and Control are expected …
View article: Simulation-Based Optimization of Path Planning for Camera-Equipped UAVs That Considers the Location and Time of Construction Activities
Simulation-Based Optimization of Path Planning for Camera-Equipped UAVs That Considers the Location and Time of Construction Activities Open
Automated progress monitoring of construction sites using cameras has been proposed in recent years. Although previous studies have tried to identify the most informative camera views according to 4D BIM to optimize installation plans, vid…
View article: Improving single‐stage activity recognition of excavators using knowledge distillation of temporal gradient data
Improving single‐stage activity recognition of excavators using knowledge distillation of temporal gradient data Open
Single‐stage activity recognition methods have been gaining popularity within the construction domain. However, their low per‐frame accuracy necessitates additional post‐processing to link the per‐frame detections. Therefore, limiting thei…
View article: Dynamic graph CNN based semantic segmentation of concrete defects and as-inspected modeling
Dynamic graph CNN based semantic segmentation of concrete defects and as-inspected modeling Open
Obtaining accurate information of defective areas of infrastructures helps to perform repair actions more efficiently. Recently, LiDAR scanners have been used for the inspection of surface defects. Moreover, machine learning methods have a…
View article: Stochastic Simulation of Construction Methods for Multi-purpose Utility Tunnels
Stochastic Simulation of Construction Methods for Multi-purpose Utility Tunnels Open
The traditional method of installing underground utilities (e.g., water, sewer, gas pipes, electrical cables) by burying them under roads has been used for decades. However, the repeated excavations related to this method cause problems, s…
View article: Future research directions of construction digital twins
Future research directions of construction digital twins Open
The Digital Twin (DT) concept has emerged as one of the main topics within automation in construction. However, compared with the applications in other industries, several challenges must be overcome when generating Construction DTs (CDTs)…
View article: Enhancing single-stage excavator activity recognition via knowledge distillation of temporal gradient data
Enhancing single-stage excavator activity recognition via knowledge distillation of temporal gradient data Open
Vision-based single-stage construction entity activity recognition methods have been gaining popularity within the construction domain. However, their relatively low per-frame performance necessitates additional post-processing to link the…
View article: Surrogate modelling of solar radiation potential for the design of PV module layout on entire façade of tall buildings
Surrogate modelling of solar radiation potential for the design of PV module layout on entire façade of tall buildings Open
This research investigated the performance of a surrogate modeling approach for the simulation of solar radiation potential on the vertical surfaces of tall buildings. Surrogate modeling is used to approximate the input–output behavior of …
View article: SIMULATION-BASED OPTIMIZATION OF PATH PLANNING FOR CAMERA-EQUIPPED UAV CONSIDERING CONSTRUCTION ACTIVITIES
SIMULATION-BASED OPTIMIZATION OF PATH PLANNING FOR CAMERA-EQUIPPED UAV CONSIDERING CONSTRUCTION ACTIVITIES Open
Automated progress monitoring of construction sites using cameras has been proposed in recent years.However, collecting images or videos using fixed or pan-tilt-zoom cameras is still limited by the inability to adapt to the dynamic constru…
View article: PAVEMENT DEFECT CLASSIFICATION AND LOCALIZATION USING WEAKLY SUPERVISED DEEP LEARNING
PAVEMENT DEFECT CLASSIFICATION AND LOCALIZATION USING WEAKLY SUPERVISED DEEP LEARNING Open
Automated detection of road defects has historically been challenging for the pavement management industry.As a result, new methods have been developed over the past few years to handle this issue.Most of these methods relied on supervised…
View article: Adaptive Cloud-to-Cloud (AC2C) Comparison Method for Photogrammetric Point Cloud Error Estimation Considering Theoretical Error Space
Adaptive Cloud-to-Cloud (AC2C) Comparison Method for Photogrammetric Point Cloud Error Estimation Considering Theoretical Error Space Open
The emergence of a photogrammetry-based 3D reconstruction technique enables rapid 3D modeling at a low cost and uncovers many applications in documenting the geometric dimensions of the environment. Although the theoretical accuracy of pho…
View article: Point Cloud-Based Concrete Surface Defect Semantic Segmentation Using Modified PointNet++
Point Cloud-Based Concrete Surface Defect Semantic Segmentation Using Modified PointNet++ Open
Structural inspection is essential to improve the safety and sustainability of infrastructure systems, such as bridges. Therefore, several technologies have been developed to detect defects automatically and accurately. For example, instea…
View article: Self-supervised Learning Approach for Excavator Activity Recognition Using Contrastive Video Representation
Self-supervised Learning Approach for Excavator Activity Recognition Using Contrastive Video Representation Open
Detecting construction equipment and classifying their activities are important steps for evaluating their performance and productivity on construction sites. To this end, many automated activity monitoring frameworks based on computer vis…