[HTML][HTML] Data integration using deep learning and real-time locating system (RTLS) for automated construction progress monitoring and reporting
D Shamsollahi, O Moselhi, K Khorasani - Automation in Construction, 2024 - Elsevier
The shift towards automated progress monitoring using new technologies for efficient
delivery of construction projects has received significant attention. The application of vision …
delivery of construction projects has received significant attention. The application of vision …
Construction site safety monitoring and excavator activity analysis system
With the recent advancements in deep learning and computer vision, the AI-powered
construction machine such as autonomous excavator has made significant progress. Safety …
construction machine such as autonomous excavator has made significant progress. Safety …
Automatic excavator action recognition and localisation for untrimmed video using hybrid LSTM-Transformer networks
In mining and construction, excavators are integral to earth-moving operations. Accurate
knowledge of excavator activities may be used in productivity analysis to streamline delivery …
knowledge of excavator activities may be used in productivity analysis to streamline delivery …
[HTML][HTML] Automatic estimation of excavator actual and relative cycle times in loading operations
This paper proposes a framework to automatically determine the productivity and
operational effectiveness of an excavator. The method estimates the excavator's actual …
operational effectiveness of an excavator. The method estimates the excavator's actual …
Time of Flight Distance Sensor–Based Construction Equipment Activity Detection Method
In this study, we delve into a novel approach by employing a sensor-based pattern
recognition model to address the automation of construction equipment activity analysis. The …
recognition model to address the automation of construction equipment activity analysis. The …
Automatic recognition of excavator working cycles using supervised learning and motion data obtained from inertial measurement units (IMUs)
This paper proposes an automatic method for excavator working cycle recognition using
supervised classification methods and motion information obtained from four inertial …
supervised classification methods and motion information obtained from four inertial …
Vision-based Explainable Action Recognition Model for Polluted Soil Tracking
On an excavation site, it is difficult to keep track of all the movements of excavated soil, often
resulting in the loss or mixing of soil. This leads to additional costs and difficulties in re-using …
resulting in the loss or mixing of soil. This leads to additional costs and difficulties in re-using …