A BIM-based method to plan indoor paths

Hamieh, Ahmed; Makhlouf, Aicha Ben; Louhichi, Borhen; Deneux, Dominique

doi:10.1016/j.autcon.2020.103120

Cited by 47 publications

(18 citation statements)

References 30 publications

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“…Fire emergency evacuation is affected by many factors, such as the uncertainty of physical characteristics and psychological state of evacuees, the layout of evacuation sites, the performance of building materials, fire alarm system and emergency management ability, with a great impact on the evacuation process. The traditional algorithms for path planning [ 11 , 21 , 24 ] consider only the length of path, and take a relatively long time to run. Studies applying a traditional path-finding algorithm for rescue routing tend to ignore the safety performance of rescue route, being inconsistent with the requirement of evacuation in fire situation.…”

Section: Methodsmentioning

confidence: 99%

“…BIM restores rich topological and semantic information between construction components and support full life-cycle data sharing [ 20 ]. The indoor GNM generation module utilizes BIM as the model input and IFC as the intermediate format to extract indoor topological and semantic information, generating a reliable GNM for indoor evacuation navigation [ 21 , 22 ]. In addition, the proposed BIM and computer vision-based indoor positioning module provides accurate local positioning of the interior, determining the spatial relationship between evacuees’ position and GNM.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the framework applies a BP neural network based on ALET for rescue route planning. Compared with traditional algorithm for path planning [ 11 , 21 , 24 ], the proposed algorithm not only improves the safety performance of a rescue route, but also shortens the required time for operating. A campus building is taken as an example for proving the feasibility of the framework proposed.…”

Section: Introductionmentioning

confidence: 99%

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BIM and Computer Vision-Based Framework for Fire Emergency Evacuation Considering Local Safety Performance

Deng

Zhang

et al. 2021

Sensors

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Fire hazard in public buildings may result in serious casualties due to the difficulty of evacuation caused by intricate interior space and unpredictable development of fire situations. It is essential to provide safe and reliable indoor navigation for people trapped in the fire. Distinguished from the global shortest rescue route planning, a framework focusing on the local safety performance is proposed for emergency evacuation navigation. Sufficiently utilizing the information from Building Information Modeling (BIM), this framework automatically constructs geometry network model (GNM) through Industry Foundation Classes (IFC) and integrates computer vision for indoor positioning. Considering the available local egress time (ALET), a back propagation (BP) neural network is applied for adjusting the rescue route according to the fire situation, improving the local safety performance of evacuation. A campus building is taken as an example for proving the feasibility of the framework proposed. The result indicates that the rescue route generated by proposed framework is secure and reasonable. The proposed framework provides an idea for using real-time images only to implement the automatic generation of rescue route when a fire hazard occurs, which is passive, cheap, and convenient.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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BIM and Computer Vision-Based Framework for Fire Emergency Evacuation Considering Local Safety Performance

Deng

Zhang

et al. 2021

Sensors

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“…However, the topology information of the indoor building's environment is rarely mentioned, resulting in a complex computation on the whole building's scale while path searching. To improve this, a system named BiMov was proposed by Hamieh et al 22 in which the BIM building was structured into three levels of navigation graphs, namely macro, external, and internal graphs. Focusing more on navigation, they paid less attention to the accuracy of the path yet and mainly obtained their path from a mesh connecting randomly generated internal nodes.…”

Section: Related Workmentioning

confidence: 99%

Building information modeling indoor path planning: A lightweight approach for complex BIM building

Liu

Zhao

et al. 2021

Computer Animation & Virtual

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The increased growth of building complexity confronts the limited device resources, especially for lightweight personal digital devices. The research of handling these complex buildings with limited resources has become a pivotal research topic. This paper explores the task of lightweight indoor path planning in complex building information modeling (BIM) buildings. Both the environment modeling and path searching are important addressed through indoor path planning with a lightweight web-based approach. A lightweight framework is designed in which the complex indoor path planning of a whole BIM building can be simplified into many local path searching of the building's interior spaces and all the online computation is decreased within no more than two simpler ones. In addition, an automatically indoor environment modeling method is proposed to partition the BIM building into many local interior spaces, constructing their spatial relationship and local grid map in a multilayered network. In the end, a heuristics optimized A star algorithm is implemented to speed up the shortest local path searching for the case of the path ends in a narrow corner. The final experiment shows that the online computational cost can be reduced greatly and dynamically to an average of 2 s when searching for the shortest path in a complex BIM building.

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“…In the field of architecture, the most remarkable MR contribution is related to the representation of a virtual model at a full scale in order to visualize the design onsite [2]. Building Information Modeling (BIM) or Computer-Aided Design (CAD) are the most used software tools for design in architecture and engineering projects [29]. CAD has been used in architecture since the 1980s and these tools are still very common in a building design [30].…”

Section: Introductionmentioning

confidence: 99%

GEUINF: Real-Time Visualization of Indoor Facilities Using Mixed Reality

Jurado

Ortega

et al. 2021

Sensors

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Mixed reality (MR) enables a novel way to visualize virtual objects on real scenarios considering physical constraints. This technology arises with other significant advances in the field of sensors fusion for human-centric 3D capturing. Recent advances for scanning the user environment, real-time visualization and 3D vision using ubiquitous systems like smartphones allow us to capture 3D data from the real world. In this paper, a disruptive application for assessing the status of indoor infrastructures is proposed. The installation and maintenance of hidden facilities such as water pipes, electrical lines and air conditioning tubes, which are usually occluded behind the wall, supposes tedious and inefficient tasks. Most of these infrastructures are digitized but they cannot be visualized onsite. In this research, we focused on the development of a new application (GEUINF) to be launched on smartphones that are capable of capturing 3D data of the real world by depth sensing. This information is relevant to determine the user position and orientation. Although previous approaches used fixed markers for this purpose, our application enables the estimation of both parameters with a centimeter accuracy without them. This novelty is possible since our method is based on a matching process between reconstructed walls of the real world and 3D planes of the replicated world in a virtual environment. Our markerless approach is based on scanning planar surfaces of the user environment and then, these are geometrically aligned with their corresponding virtual 3D entities. In a preprocessing phase, the 2D CAD geometry available from an architectural project is used to generate 3D models of an indoor building structure. In real time, these virtual elements are tracked with the real ones modeled by using ARCore library. Once the alignment between virtual and real worlds is done, the application enables the visualization, navigation and interaction with the virtual facility networks in real-time. Thus, our method may be used by private companies and public institutions responsible of the indoor facilities management and also may be integrated with other applications focused on indoor navigation.

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A BIM-based method to plan indoor paths

Cited by 47 publications

References 30 publications

BIM and Computer Vision-Based Framework for Fire Emergency Evacuation Considering Local Safety Performance

BIM and Computer Vision-Based Framework for Fire Emergency Evacuation Considering Local Safety Performance

Building information modeling indoor path planning: A lightweight approach for complex BIM building

GEUINF: Real-Time Visualization of Indoor Facilities Using Mixed Reality

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