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GOALI: Georeferenced Visualization and Emulated Proximity Monitoring for Real Time Knowledge-Based Excavator Control

GOALI: Georeferenced Visualization and Emulated Proximity Monitoring for Real Time Knowledge-Based Excavator Control
GOALI:基于知识的挖掘机实时控制的地理参考可视化和模拟接近监控
批准号:
1160937
负责人:
Vineet Kamat
金额:
$30.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-15 至 2016-08-31

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中文摘要
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英文摘要
The research objective of this award is to explore new visualization and proximity monitoring methods for improving the spatial awareness and decision-making capabilities of excavator operators. The investigated ideas will allow excavator operators to persistently ?see? what underground utilities lie buried in a digging machine?s vicinity, thus helping prevent frequently-occurring accidents involving utility strikes. Methods to interpret and monitor a working excavator?s proximity to vicinal buried assets will also be researched, which, if successful, will enable real time knowledge-based excavator operation and control. The research approach will involve the pursuit of fundamental knowledge in georeferenced augmented reality visualization, equipment articulation monitoring, and geometric proximity interpretation, and their integration for spatial awareness and operator knowledge. If successful, the benefits of this research will include the potential transformation of excavator operation from a primarily skill-based activity to a knowledge-based practice, leading to increases in construction productivity and safety. This is turn will help realize tangible cost savings and reduction of potential hazards to citizens, improvement in competitiveness of U.S. industry, and reduction in life cycle costs of underground infrastructure. The research will impact education by promoting subsurface utility engineering as an area of specialization in engineering education. A diverse group of students will participate in the research and acquire intensive skills and knowledge that will allow them to make valuable contributions to society in their independent careers beyond this research. The societal benefits of this research will thus be: 1) reductions in construction and underground infrastructure life-cycle costs that will be possible through safe and efficient excavation; 2) the effective education and training of current and future engineers; and 3) the career development of the personnel participating in the research.
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Collaborative Research: Correlating Geospatial Data Lineage and Positional Accuracy for Excavation Damage Prevention
AIR Option 1: Technology Translation: Development and Evaluation of Field Prototype for Determining Excavator Proximity to Buried Utilities
I-Corps: Determining Excavator Proximity to Buried Utilities
Context-Aware Information Access for Rapid On-Site Decision Making in Construction, Maintenance, and Inspection of Civil Infrastructure Systems
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