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SmartCaveDrone: 3D cave mapping using UAVs as robotic co-archaeologists

Guoxiang Zhang, Bo Shang, YangQuan Chen, Holley Moyes

发表年份
2017
引用次数
28

摘要

This paper proposes the concept of drones capable of functioning as “Co-Archaeologists” that can map large caves and enter dangerous or hard-to-reach spaces. Using RGB-D data collected by drones, we will be able to produce accurate 3D models and semantic maps with proper lighting co-supervised by human archaeologists. This is going to be a major advance in archaeological practice, which can accelerate the speed of archaeological exploits by extending the archaeologists' sight and perception range. This will enable us to conduct 3D analyses so that we may answer new questions and create new insights into the archaeological record. The archaeologists will be able to visualize data collected by drones and instruct the drones' next step in real-time. These data will also be important in site management, data sharing and visualization. Human/drone interaction becomes important, not only for operating the equipment, but also for guiding drones to areas of interest to be mapped. Maps or real-time “fly-throughs” only make sense when they are organized by human interactions with the space. This human interaction is vital when visualizing and understanding a space and should be reflected in the imagery. We envision that this technology will be game changing in cave mapping and pertinent to anyone rendering interior spaces. It creates longer term impacts in archaeology and digital heritage and potentially creates a transformative way for further enhancing the performance of 3D mapping.

关键词

DroneComputer scienceRendering (computer graphics)VisualizationExploitTransformative learningCaveArchaeologyData scienceArtificial intelligence

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