Smart, Connected and Perceptive (SCoPe) Off-Road Vehicles (R2)
Smart, Connected and Perceptive (SCoPe) Off-Road Vehicles (R2)
批准号:
571043-2021
负责人:
Ferland, FrançoisF
金额:
$28.97万
依托单位:
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31
中文摘要
BRP、CM实验室模拟、LeddarTech、舍布鲁克大学和麦吉尔大学将共同开发用于高级研究目的的联网和感知车辆。合作还将涉及技术先锋-BRP-UDES(CTA)。这一联合倡议将使各方能够调查、测试和验证先进的驾驶员辅助系统(ADAS)功能,如在越野环境中避免碰撞。原型车辆将能够通过感知传感器实时“看到”他们的环境,包括由LeddarTech提供的LiDAR传感器、雷达和摄像头,同时还能够使用最新的车辆到一切(V2X)协议相互通信。车辆将纳入一些二级和三级驾驶能力,以增强司机/乘客的安全。为了加快开发,将使用CM实验室的Vortex Studio创建数字孪生兄弟。这款先进的数字双胞胎将被学生和专业人士用作环路中软件和环路中司机的沙盒。车辆将通过最先进的高保真模拟进行精心建模,其中将包括感知传感器和经过验证的实时轮胎-土壤相互作用模型,从而使团队能够执行虚拟验证计划、训练神经网络并生成大量虚拟数据。
英文摘要
BRP, CM labs Simulations, LeddarTech, Université de Sherbrooke and McGill University will co-develop connected and perceptive vehicles for advanced research purposes. The collaboration will also involve Centre de Technologies Avancées - BRP - UdeS (CTA).This joint initiative will enable the parties to investigate, test and validate advanced driver assistance system (ADAS) features such as collision avoidance in off-road environments. Prototype vehicles will be able to "see" their environment in real-time with perceptive sensors, including LiDAR sensors provided by LeddarTech, radars, and cameras while also having the ability to communicate with one another using the latest vehicle-to-everything (V2X) protocols. Vehicles will incorporate some Level II and Level III driving capabilities to enhance driver/passenger safety.To accelerate the development, a digital twin will be created using CM Labs' Vortex Studio. The advanced digital twin will be used by students and professionals as a software-in-the-loop and driver-in-the-loop sandbox. The vehicle will be meticulously modelled with a state-of-the-art high-fidelity simulation that will include the perceptive sensors and validated real-time tire-soil interaction models, thus enabling the team to conduct virtual validation plans, train neural networks and generate large amounts of virtual data.
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