Exploring the use of drones for catastrophe situation reporting and damage assessment

GSTDTAP

项目编号	NE/P018890/1
	Exploring the use of drones for catastrophe situation reporting and damage assessment
	Monica Rivas Casado
主持机构	Cranfield University
项目开始年	2017
	2017-02-01
项目结束日期	2017-05-31
资助机构	UK-NERC
项目类别	Research Grant
国家	英国
语种	英语
英文摘要	This proposal targets the use of unmanned aerial vehicles (UAVs) for catastrophe monitoring and assessment. With global economic losses due to natural disasters being in the order of $150 billion per annum, the uptake of drone based imaging technologies that can provide timely and on-demand information to meet the needs of end users such as first responders (e.g. civil resilience), NGOs, commercial companies (e.g. loss adjusters) is of paramount importance. This Follow-on Fund Pathfinder will look at quantifying the market opportunity for drone-based imaging services within the context of catastrophe situation reporting and damage assessment and in a range of potential scenarios. In turn, this will enable us to identify the sectors with the greatest market need, and develop a competitive business offering to achieve maximal commercial impact. The proposed work will be carried out in collaboration with Oxford University Innovation Ltd., widely known for offering consulting advice in technology transfer and innovation management to clients from the public and private sectors, in the UK and internationally. Their role is to facilitate the flow of new, disruptive technologies from technology providers such as universities, institutes and early stage companies to technology seekers such as mature companies looking to create ground-breaking products and new business divisions. On completion, the project will provide a good understanding of the likely market potential for drone based imaging technologies around which a Follow-on-Fund proposal will be based. The Follow-on-Fund project will look at developing algorithms for the automated identification of impact features from the high resolution aerial imagery collected with the UAVs. The aim will be to create a library of object/damage recognition that is accessible to the wider public via existing data transfer platforms and can integrate multiple data formats. As we develop a library of information and image recognition functions, the long-term aim would be to develop a business service based around an automated damage recognition system - where collection of data from licensed UAV pilots on extreme events can be analysed through the system to calculate damage extent and volume and location of debris. This would in the long-term assist infrastructure providers, insurers and disaster responders with rapid information on extreme events for planning and disaster management; it will also make a significant difference to the scale (high resolution > 5 cm), timeliness (on-demand) and type of information that can be detected for management and assessment purposes. The extracted information will directly feed into a delivery platform, as a commercial product or tool, accessible to any company interested in catastrophe metric estimation, e.g., model validation or calibration. The Follow-on-Fund Pathfinder project would act as an essential precursor for the development of this business service and associated products and it is key to building a compelling case for the Follow-on-Fund that achieves research impact through exploitation.
来源学科分类	Natural Environment Research
文献类型	项目
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/86549
专题	环境与发展全球科技态势
推荐引用方式 GB/T 7714	Monica Rivas Casado.Exploring the use of drones for catastrophe situation reporting and damage assessment.2017.