Multi-resolution situation recognition for urban-aware smart assistant

多分辨率情境识别，打造城市感知智能助手

• 批准号: DP190101485
• 负责人: A/Prof Yongli Ren
• 金额: $ 27.44万
• 依托单位: RMIT University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-06-13 至 2023-06-13
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP190101485
• 关键词: Multi; resolution; situation; recognition; urban

This project aims to develop a situation recognition framework to recognise and anticipate unforeseen emerging situations, such as schedule changes, incidents, and disruptions in an urban environment. The project will address a significant knowledge gap by capturing and modelling unpredictability in human mobility and work routines. The outcome will be a situation recognition framework that can be applied at the individual, social group, and urban level, and at multiple locations and time scales. This should provide users with timely notifications and recommendations to resume their activities and routines. The expected benefits will be far-ranging and adaptable to many domains, from personal smart assistants to trip planning and emergency services.

该项目旨在开发一个情况识别框架，以识别和预测不可预见的新情况，例如城市环境中的时间表变化、事件和干扰。该项目将通过捕捉人类流动和工作惯例中的不可预测性并对其进行建模来解决重大的知识差距。其成果将是一个可应用于个人、社会群体和城市层面、多个地点和时间尺度的情境识别框架。这应该为用户提供及时的通知和建议，以恢复他们的活动和日常工作。预期的好处将是广泛的，并且适用于许多领域，从个人智能助理到旅行计划和紧急服务。