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Innovative methods for road infrastructure digitization

Innovative methods for road infrastructure digitization
道路基础设施数字化的创新方法
批准号:
561109-2020
负责人:
ElBasyouny, Karim
金额:
$3.64万
依托单位:
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31

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英文摘要
Connected and Autonomous Vehicles (CAVs) hold the promise to bring about a paradigm shift in transportation safety and mobility. Despite recent advances in the automotive industry/research, a fully autonomous system in complex general road environments has not been fully realized, partially due to the bottlenecks caused by AV technologies. The enormous amount of computations and power required for AVs to operate safely in real-time and at high levels of autonomy is beyond the capabilities of any battery-powered vehicle control system. As such, offloading expensive computation workloads to the infrastructure is an active and trending area of research. Recent efforts and collaborative initiatives between the automotive industry, infrastructure owners, and academia shifted towards supporting CAVs with High Definition Maps and semantic road datasets. This project's ultimate goal is to develop methods to build performance-based semantic layers of high definition Maps. Semantic layers of HD maps contain processed information (e.g., traffic signs, obstacles locations, travel lanes, road edges, speed limits, road curvature, gradient, etc.) that can be directly used by CAVs local computer systems. The outcome of this research will facilitate the testing of several vehicle sensor designs in virtual reality on a digitized replica of existing roads collected using light detection and ranging (LiDAR) scanners. The potential outcomes and benefits to Alberta and Canada of this (and similar) projects cannot be overstated: 1) offer a solution to resolve some of the most significant bottlenecks due to existing CAV technologies (e.g., sensor limitations, dynamic occlusions, etc.); 2) improve workload management of local CAV systems; 3) assist government agencies in testing automakers sensor configurations on existing infrastructure in a virtual environment; 4) help stakeholders make informed decisions regarding smart infrastructure investments; 5) allow Canadians to realize the full potential from CAVs over the next decade; and 6) maintain Alberta and Canada's economic and technological competitiveness.
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Integration of Remote Sensing Big Data into the Management and Design of Highway Infrastructures
  • 批准号:
    RGPIN-2019-04576
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.26万
  • 财政年份:
    2022
  • 负责人:
    ElBasyouny, Karim
  • 依托单位:
Integration of Remote Sensing Big Data into the Management and Design of Highway Infrastructures
  • 批准号:
    RGPIN-2019-04576
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.26万
  • 财政年份:
    2021
  • 负责人:
    ElBasyouny, Karim
  • 依托单位:
An AI and equity driven framework for mobile photo enforcement deployment
  • 批准号:
    562466-2021
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $2.07万
  • 财政年份:
    2021
  • 负责人:
    ElBasyouny, Karim
  • 依托单位:
Innovative methods for road infrastructure digitization
  • 批准号:
    561109-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $3.64万
  • 财政年份:
    2020
  • 负责人:
    ElBasyouny, Karim
  • 依托单位:
国内基金
海外基金
复杂图像处理中的自由非连续问题及其水平集方法研究
  • 批准号:
    60872130
  • 项目类别:
    面上项目
  • 资助金额:
    28.0万元
  • 批准年份:
    2008
  • 负责人:
    刘国才
  • 依托单位:
Computational Methods for Analyzing Toponome Data