Smart Information Processing for Roadside Fire Risk Assessment Using Computational Intelligence and Pattern Recognition

使用计算智能和模式识别进行路边火灾风险评估的智能信息处理

• 批准号: LP140100939
• 负责人: Prof Brijesh Verma
• 金额: $ 16.4万
• 依托单位: Central Queensland University
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-07-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP140100939
• 关键词: Smart; Information; Processing; Roadside; Fire

This project proposes a novel approach for identifying roadside fire risks using pattern recognition and computational intelligence techniques. The video data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project aims to develop new techniques for identification of roadside objects so that the data can be automatically analysed allowing the estimation of fire risk factors. The final outcome intends to be techniques for segmentation and classification of roadside objects and estimation of fire risk factors.

本计画提出一种利用模式辨识与计算智慧技术来辨识路边火灾风险的新方法。视频数据每年在昆士兰州的每条州道上收集，并有可能为更安全的道路提供一系列增值产品。该项目旨在开发识别路边物体的新技术，以便对数据进行自动分析，从而估计火灾风险因素。最后的成果打算是技术的分割和分类的路边物体和估计火灾风险因素。