Rapid Human-Assisted, Obstacle Avoidance System using Sparse Range Point Clouds

“…The basic idea behind these technical approaches is that job site safety risks can be improved by detecting, modeling, and tracking 3D boundaries around hazardous zones, and then by classifying and separating them from the active construction workspace. Kim et al [36] described the sparse point cloud approach to modeling static objects or zones that might cause danger or have proven to have hazardous potential. Applying this approach,…”

Section: Sensing and Warning Technologiesmentioning

confidence: 99%

Construction safety and digital design: A review

Whyte

Sacks

2012

Automation in Construction

225

121

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As digital technologies become widely used in designing buildings and infrastructure, questions arise about their impacts on construction safety. This review explores relationships between construction safety and digital design practices with the aim of fostering and directing further research. It surveys state-of-the-art research on databases, virtual reality, geographic information systems, 4D CAD, building information modeling and sensing technologies, finding various digital tools for addressing safety issues in the construction phase, but few tools to support design for construction safety. It also considers a literature on safety critical, digital and design practices that raises a general concern about 'mindlessness' in the use of technologies, and has implications for the emerging research agenda around construction safety and digital design. Bringing these strands of literature together suggests new kinds of interventions, such as the development of tools and processes for using digital models to promote mindfulness through multi-party collaboration on safety.

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“…When objects are related to tasks, object fitting, matching, and merging algorithms can be used to extract precise geometrical information from workplace scenes. Such spatial modeling can be applied in obstacle avoidance operations of heavy equipment (10).…”

Section: Sparse Point Cloud Approachmentioning

confidence: 99%

Framework for Real-Time Three-Dimensional Modeling of Infrastructure

Teizer

Kim

Haas

et al. 2005

Transportation Research Record

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Modeling transportation infrastructure assets in three dimensions (3D) is becoming increasingly necessary for good management. Condition assessment, maintenance, operations, and construction activities are exploiting 3D models for improved visualization, communications, and process control. Acquiring 3D models rapidly can improve safety and productivity and is becoming feasible through approaches based on sparse range point clouds; however, although this approach has contextual advantages, it is ultimately limited in speed. Emerging Flash laser detection and ranging (LADAR) technology is opening up the possibility of 3D modeling at rates better than 1 Hz (real time). A framework for 3D modeling is presented that includes the dimension of time. In particular, the performance of the Flash LADAR technology is examined, and potential applications are explored. Technologies such as Flash LADAR will play an important role in real-time modeling of infrastructure assets in the near future.

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Rapid Human-Assisted, Obstacle Avoidance System using Sparse Range Point Clouds

Cited by 14 publications

References 0 publications

Status quo and open challenges in vision-based sensing and tracking of temporary resources on infrastructure construction sites

Status quo and open challenges in vision-based sensing and tracking of temporary resources on infrastructure construction sites

Construction safety and digital design: A review

Framework for Real-Time Three-Dimensional Modeling of Infrastructure

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