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Scalable and Interoperable Simulation for Testing Automated Vehicles

Scalable and Interoperable Simulation for Testing Automated Vehicles
用于测试自动驾驶车辆的可扩展且可互操作的仿真
批准号:
571264-2022
负责人:
Czarnecki, Krzysztof
金额:
$1.46万
依托单位:
依托单位国家:
加拿大
项目类别:
Idea to Innovation
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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中文摘要
翻译
该提案是为与Lab2Market计划合作的一个市场评估项目,以评估一项先前研究产生的技术的商业潜力。目标是通过市场研究明确该技术的商业可行性,并确定前进的道路。该技术是一种用于自动车辆(AVS)模拟测试的软件,开发该软件是为了解决当前自动车辆模拟技术的主要缺点(可伸缩性、互操作性和可重复性),并加速和扩大测试以涵盖困难和罕见的场景。基于软件的解决方案允许以可扩展、可互操作和可重复的方式定义和执行AV测试场景,同时与任何现有的专用模拟基础设施集成。具体地说,它解决了定义道路用户(车辆,人工驾驶或自动驾驶,以及行人)的行为以及将其注入现有模拟环境的能力的复杂问题。它还支持根据记录的流量重新创建场景,并注入边缘案例行为。
英文摘要
The proposal is for a Market Assessment project with the Lab2Market Program to assess the commercial potential for a technology that resulted from prior research. The goal is to gain clarity on the commercial feasibility of the technology through market research and define a path forward.This technology is a software for Automated Vehicles (AVs) testing in simulation, developed to address major shortcomings of current AV simulation technologies (scalability, interoperability, and repeatability), and accelerate and scale testing to cover difficult and rare scenarios. The software-based solution allows defining AV test scenarios and executing them, while integrating with any existing specialized simulation infrastructure, in a scalable, interoperable, and repeatable manner. Specifically, It addresses the complex issue of defining the behaviors of road users (vehicles, human driven or automated, and pedestrians) and the ability to inject them into existing simulation environments. It also supports recreating scenarios from recorded traffic and injecting edge case behaviors.
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A safety-assured architecture for AI-enabled autonomous vehicles
  • 批准号:
    RGPIN-2022-03944
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.01万
  • 财政年份:
    2022
  • 负责人:
    Czarnecki, Krzysztof
  • 依托单位:
Model-Based Synthesis and Safety Assurance of Intelligent Controllers for Autonomous Vehicles
  • 批准号:
    RGPIN-2017-04733
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.06万
  • 财政年份:
    2021
  • 负责人:
    Czarnecki, Krzysztof
  • 依托单位:
Model-Based Synthesis and Safety Assurance of Intelligent Controllers for Autonomous Vehicles
  • 批准号:
    RGPIN-2017-04733
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.06万
  • 财政年份:
    2020
  • 负责人:
    Czarnecki, Krzysztof
  • 依托单位:
Model-Based Synthesis and Safety Assurance of Intelligent Controllers for Autonomous Vehicles
  • 批准号:
    RGPIN-2017-04733
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.06万
  • 财政年份:
    2019
  • 负责人:
    Czarnecki, Krzysztof
  • 依托单位:
海外基金