Real-time planning of a lifting scheme in mobile crane mounted controllers

Ren, Weijun; Wu, Zifeng; Zhang, Lei

doi:10.1139/cjce-2015-0110

Cited by 7 publications

(3 citation statements)

References 20 publications

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“…Early works on path planning for construction boomed in the early 2000s [31], [32]. Several studies attempted to achieve near real-time path planning during the assembly process [33], [34]. However, few studies considered both crane operation efficiency and collision effects to improve path planning and re-planning prior to actual construction [35].…”

Section: A Assembly Planning In Prefabricated Constructionmentioning

confidence: 99%

Deep Reinforcement Learning for Real-Time Assembly Planning in Robot-Based Prefabricated Construction

Zhu

Dai

et al. 2023

IEEE Trans. Automat. Sci. Eng.

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Section: A Assembly Planning In Prefabricated Constructionmentioning

confidence: 99%

Deep Reinforcement Learning for Real-Time Assembly Planning in Robot-Based Prefabricated Construction

Zhu

Dai

et al. 2023

IEEE Trans. Automat. Sci. Eng.

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“…Payload lifting should consider all the possible potential hazards which have been discussed in [6]. To help improve the safety and working efficiency of the crane operation, a lot of research concentrating on the automated on-site lifting path planning [7][8][9], lifting simulation [10][11][12], and operation management [13][14] are conducted in recent years.…”

Section: Introductionmentioning

confidence: 99%

3D Crane Site Reconstruction with Lifting Path Displaying by a Top-view Camera

Wang¹,

Xi²,

Bi³

et al. 2022

Proceedings of the Creative Construction E-Conference 2022

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Due to the complex working environment, limited vision, and complicated crane operations, the crane operator faces two major problems when constructing with a crane: safety and working efficiency. Every year, numerous accidents occur, the majority of which are the result of the crane operator's inability to acknowledge hidden hazards. Some of these accidents can be effectively avoided through a comprehensive and intuitive display of important visual information to the crane operator. In this research, a 3D spatial map is reconstructed through visual simultaneous location and mapping with a top-view camera. The lifting path is planned on the consideration of both the 3D spatial map and working limit area. These information is displayed intuitively in the top-view image. The lifting path can be successfully and precisely shown in the top-view image in both simulation and field experiments. The augmented top-view image with the planned lifting path can help ensure the operation safety in an efficient way. Based on the proposed intuitive information displaying system, a much more intelligent safety and operation related system which can adjust displaying different kinds of visual information for ensuring construction safety and working efficiency can be developed.

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“…All-terrain cranes are widely used in construction, transportation and other industries due to their good mobility and capacity [1]. Fig.…”

Section: Introductionmentioning

confidence: 99%

Generating a visual map of the crane workspace using top-view cameras for assisting operation

Wang¹,

Suzuki²,

Ohtake³

et al. 2018

Creative Construction Conference 2018 - Proceedings

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All terrain cranes often work in construction sites. Blind spots, limited information and high mental workload are problems encountered by crane operators. A top-view camera mounted on the boom head offers a valuable perspective on the workspace that can help eliminate blind spots and provide the basis for assisting operation. In this study, a visual 2D map of a crane workspace is generated from images captured by a top-view camera. Various types of information can be overlaid on this visual to assist the operator, such as recording the operation and projecting the boom head's expected path through the workspace. Herein, the process of generating a visual map by stitching and locating the boom head trajectory in that visual map is described. Preliminary proof-ofconcept tests show that a precise map and projected trajectories can be generated via image-processing techniques that discriminate foreground objects from the scene below the crane. These results show a way to help the operator make more precise operation easily and reduce the operator's mental workload.

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Real-time planning of a lifting scheme in mobile crane mounted controllers

Cited by 7 publications

References 20 publications

Deep Reinforcement Learning for Real-Time Assembly Planning in Robot-Based Prefabricated Construction

Deep Reinforcement Learning for Real-Time Assembly Planning in Robot-Based Prefabricated Construction

3D Crane Site Reconstruction with Lifting Path Displaying by a Top-view Camera

Generating a visual map of the crane workspace using top-view cameras for assisting operation

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