详情

Spatial Attention Mechanism for Weakly Supervised Fire and Traffic Accident Scene Classification

项目名称：	Spatial Attention Mechanism for Weakly Supervised Fire and Traffic Accident Scene Classification
摘要：	During the past ten years, on average there were nearly 16.5 thousands of hazardous material (hazmat) transport incidents per year resulting in $82 millions of damages. Prompt, accurate, objective assessment on hazmat incidents is important for the first-responders to take appropriate actions timely, which will reduce the damage of hazmat incidents and protect the safety of people and the environment. This multi-phase project aims to develop a method of processing and analyzing images captured by the crowdsourcing at incident scenes, which can aid the first-responders for hazmat incident assessment, decision-making, and reporting. The outcome of the project will be a component of a smart safety enhancement system that improves the responsiveness and effectiveness of emergency responders and hospitals in dealing with hazardous material transportation incidents.
状态：	Completed
资金：	120000
资助组织：	Office of the Assistant Secretary for Research and Technology
管理组织：	Mid-America Transportation Center
项目负责人：	Stearns, Amy
执行机构：	Missouri University of Science & Technology, Rolla
主要研究人员：	Yin, Zhaozheng
开始时间：	20170801
预计完成日期：	20190630
实际结束时间：	0