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: University of Waterloo
• 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
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=729117
• 关键词: Scalable; Interoperable; Simulation; Testing; Automated

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.

该提案是一个市场评估项目与实验室2Market计划，以评估商业潜力的技术，从以前的研究。该技术是一种用于自动驾驶汽车（AV）模拟测试的软件，旨在解决当前AV模拟技术的主要缺点（可扩展性，互操作性和可重复性），并加速和扩展测试以覆盖困难和罕见的场景。基于软件的解决方案允许定义AV测试场景并执行它们，同时以可扩展、可互操作和可重复的方式与任何现有的专用仿真基础设施集成。具体来说，它解决了定义道路使用者（车辆，人类驾驶或自动驾驶，以及行人）的行为以及将其注入现有仿真环境的能力的复杂问题。它还支持从记录的流量中重新创建场景，并注入边缘情况行为。