5G-based earthwork monitoring system for an unmanned bulldozer

You, Ke; Ding, Lieyun; Zhou, Cheng; Dou, Quanli; Wang, Xuepeng; Hu, Bin

doi:10.1016/j.autcon.2021.103891

Cited by 24 publications

(8 citation statements)

References 33 publications

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“…On the basis of DT recording personnel trajectories of construction sites, behavioral data analysis can be carried out to ensure safety risk management (Jiang et al, 2021). Combined with the integrated perception of sensor data, such as machine vision, inertial measurement unit (IMU), and real‐time kinematics (RTK), the construction safety of unmanned bulldozers and autonomous excavators can be ensured (You et al, 2021; Zhang et al, 2021). Deryabina et al (2020) combined with DT to realize intelligent process control of mine construction, covering the collaborative construction process of various construction machinery (excavators, loaders, and mining cards).…”

Section: Literature Reviewmentioning

confidence: 99%

Earthwork digital twin for teleoperation of an automated bulldozer in edge dumping

You

Zhou

Ding

et al. 2023

Journal of Field Robotics

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The unstructured construction site with a complex and changeable environment brings challenges to human–machine interaction. In this study, the earthwork digital twin (DT) is proposed to realize accurate and real‐time perception, which can support the teleoperation of an automated bulldozer. The overall framework includes anterior‐time DT, real‐time DT, and posterior‐time DT, which integrates three‐dimensional modeling, edge detection, and blade trajectory algorithms. Multidimensional heterogeneous data in bulldozer teleoperation can be displayed in real‐time to ensure construction safety. Big data during teleoperation of the construction process can be collected, stored, and analyzed. The DT proposed in this study was successfully applied in a major construction project in China, and testing results show its universality, robustness, and advanced performance. The key technologies proposed in this study can be applied to solve the common problems in the construction industry, which is promising for future intelligent construction.

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Section: Literature Reviewmentioning

confidence: 99%

Earthwork digital twin for teleoperation of an automated bulldozer in edge dumping

You

Zhou

Ding

et al. 2023

Journal of Field Robotics

Self Cite

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“…The burgeoning soft electronic material in soft robots, [1] flexible sensors, [2] and electronic skin [3] are hailed as a profound research frontier, [4] which motivates researchers to further explore the novel applications. In industrial transportation, [5] with the increasing popularity of driverless technology [6] and digitalization, [7] the trajectory control of mobile platforms is often realized by means of program front design and remote control. [8,9] We noted that automated guided vehicles (AGV) were commonly used to transport goods in factories.…”

Section: Introductionmentioning

confidence: 99%

Trajectory Controlling and Collision Warning Device Based on Self‐Healing and Conductive Castor Oil‐Based Waterborne Polyurethane in Automated Guided Vehicles

Shen

Lei

Long

et al. 2023

Adv Funct Materials

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Sustainable castor oil-based waterborne polyurethanes (WPUs) are widely applied in multiple fields, while the strategies to simultaneously realize reprocessing, self-healing, and novel applications are attractive and highly demanded. Herein, a molecular design strategy is proposed to incorporate dynamic oxime-carbamate bonds into the castor oil-based WPUs. The obtained networks exhibit excellent toughness (>44 MPa), adequate stretchability, and wonderful self-healing efficiency (>95% at 80 °C for 8 h), which stand out among the reported cases. Moreover, the WPU film retained almost 100% of the original mechanical properties after consecutive reprocessing. With the incorporation of carbon nanotubes, the films are endowed with good electric conductivity, providing a general platform for fabricating flexible electronic devices. Specifically, wonderful performance in trajectory control and collision warning is displayed, which is expected to be an alternative to minimize the utilization of expensive and complex obstacle sensors in automated guided vehicles. This study contributes to the development of sustainable and self-healing WPU-based flexible material and opens the gate for novel and identified applications.

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“…Wall-spraying and wall-building robots (Han et al, 2006;Liang et al, 2020;Panda et al, 2017;Y. Tan et al, 2021;You et al, 2021) have also been used in scenarios.…”

Section: Introductionmentioning

confidence: 99%

A large‐scale dataset of buildings and construction sites

Cheng,

Jia,

2023

Computer aided Civil Eng

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With the rapid development of deep learning and machine automation technology, as well as workforce aging, increasing labor costs, and other issues, an increasing number of scholars have paid attention to the use of these techniques to solve problems in civil engineering. Although progress has been made in applying deep learning to damage detection, many subfields in civil engineering are still in the initial stage, and a large amount of data has not been used. Moreover, the rapid development of a field cannot be separated from large open‐source datasets and many researchers. Therefore, this study attempts to construct a dataset named the BCS dataset of nearly 212,000 photos of buildings and construction sites using multi‐threaded parallel crawler technology and offline collection. The dataset will be expanded regularly. As a practical demonstration, the StyleGAN3 and StyleGAN2 generative adversarial networks were utilized on the dataset to create faked safety hat images and high‐resolution architectural images. Subsequently, four classic classification models were employed to validate the dataset, achieving a Top‐1 accuracy of up to 0.947. These results underscore the dataset's excellent potential for practical applications.

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5G-based earthwork monitoring system for an unmanned bulldozer

Cited by 24 publications

References 33 publications

Earthwork digital twin for teleoperation of an automated bulldozer in edge dumping

Earthwork digital twin for teleoperation of an automated bulldozer in edge dumping

Trajectory Controlling and Collision Warning Device Based on Self‐Healing and Conductive Castor Oil‐Based Waterborne Polyurethane in Automated Guided Vehicles

A large‐scale dataset of buildings and construction sites

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