Approximate algorithms and architectures for area efficient system design

区域高效系统设计的近似算法和架构

• 批准号: LP170100311
• 负责人: Prof Sridevan Parameswaran
• 金额: $ 21万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-04-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP170100311
• 关键词: Approximate; algorithms; architectures; area; efficient

This project aims to develop simpler but reliable image recognition systems that can run on low-cost, small-scale platforms, for use in driver monitoring system (DMS) applications. Cheaper reliable DMS will lead to wider availability of this technology to end users and improve safety of motor vehicles. This project will develop approximate algorithmic and circuit techniques, provide training for research students and build capability in the area of approximate computing. It is also expected to lead to commercial products, licences and revenue, which will enable new job creation.

该项目旨在开发更简单但可靠的图像识别系统，可以在低成本，小规模的平台上运行，用于驾驶员监控系统（DMS）的应用。更便宜、可靠的DMS将使最终用户更广泛地获得这项技术，并提高机动车辆的安全性。该项目将开发近似算法和电路技术，为研究生提供培训，并建立近似计算领域的能力。预计还将产生商业产品、许可证和收入，从而创造新的就业机会。