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Seunghoon Jung, Taehoon Hong
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10.1016/j.autcon.2026.106869 · doi-reference
Physics-informed neural networks-based online excavation trajectory planning for unmanned excavator
10.1186/s10033-024-01109-2 · doi-reference
Optimizing bucket-filling strategies for wheel loaders inside a dream environment
10.1016/j.autcon.2024.105804 · doi-reference
Reinforcement learning-based bucket filling for autonomous excavation
10.1109/tfr.2024.3432508 · doi-reference
Visual–auditory learning network for construction equipment action detection
10.1111/mice.12983 · doi-reference
3D convolutional neural network‐based one‐stage model for real‐time action detection in video of construction equipment
10.1111/mice.12695 · doi-reference
Simulation-based framework for optimal construction equipment allocation considering construction noise emissions
10.1080/13467581.2023.2172324 · doi-reference
Database-driven model predictive control system for online adaptation of an autonomous excavator to environmental conditions
10.1016/j.conengprac.2024.105843 · doi-reference
Numerical simulation of operations of hydraulic excavators for polydisperse bulk materials and different configurated buckets
10.1016/j.autcon.2023.105154 · doi-reference
Predictive operator modeling for virtual prototyping of hydraulic excavators
10.1016/j.autcon.2017.08.008 · doi-reference
A 3D model based control of an excavator
10.1016/j.autcon.2005.07.009 · doi-reference
Task planning strategy and path similarity analysis for an autonomous excavator
10.1016/j.autcon.2020.103108 · doi-reference
An autonomous excavator system for material loading tasks
10.1126/scirobotics.abc3164 · doi-reference
10.1145/324898.324981
10.1145/324898.324981 · doi-reference
Cyclone–method for modeling job site processes
10.1061/jcceaz.0000712 · doi-reference
BIM-based simulation of construction robotics in the assembly process of wood frames
10.1016/j.autcon.2022.104194 · doi-reference
Component-based robot prefabricated construction simulation using IFC-based building information models
10.1016/j.autcon.2023.104899 · doi-reference
Reinforcement learning-driven adaptive 3D simulation and visualization of excavator operations
10.1016/j.autcon.2025.106626 · doi-reference
Embodied AI for dexterity-capable construction Robots: DEXBOT framework
10.1016/j.aei.2024.102572 · doi-reference
Simulation-based approaches for construction resource management: methods, challenges, and future directions
10.1016/j.aei.2025.104220 · doi-reference
Semantic digital twin framework for monitoring construction workflows
10.1016/j.autcon.2025.106301 · doi-reference
Integrating building information models with construction process simulations for project scheduling support
10.1016/j.autcon.2013.10.009 · doi-reference
Automated excavators activity recognition and productivity analysis from construction site surveillance videos
10.1016/j.autcon.2019.103045 · doi-reference
Unified modeling methodology for construction simulation
10.1061/(asce)0733-9364(2002)128:2(174) · doi-reference
Building Information Modeling (BIM) and Safety: automatic safety checking of construction models and schedules
10.1016/j.autcon.2012.05.006 · doi-reference
10.1061/40475(278)17
10.1061/40475(278)17 · doi-reference
The value of integrating Scan-to-BIM and Scan-vs-BIM techniques for construction monitoring using laser scanning and BIM: the case of cylindrical MEP components
10.1016/j.autcon.2014.05.014 · doi-reference
Simplified discrete-event simulation approach for construction simulation
10.1061/(asce)0733-9364(2003)129:5(537) · doi-reference
Implementing earned value management using bridge information modeling
10.1007/s12205-014-0455-9 · doi-reference
Barriers to adopting simulation modelling in construction industry
10.1016/j.autcon.2019.103046 · doi-reference