Smart, Connected and Perceptive (SCoPe) Off-Road Vehicles (R2)

智能、互联和感知 (SCoPe) 越野车辆 (R2)

• 批准号: 571043-2021
• 负责人: Ferland, FrançoisF
• 金额: $ 28.97万
• 依托单位: Université de Sherbrooke
• 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
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=754056
• 关键词: Smart; Connected; Perceptive; SCoPe; Off

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.

BRP，CM labs Simulations，LeddarTech，Université de Sherbrooke和麦吉尔University将共同开发用于高级研究目的的连接和感知车辆。该合作还将涉及先进技术中心- BRP - UdeS（CTA）。该联合计划将使各方能够调查，测试和验证高级驾驶员辅助系统（ADAS）功能，例如越野环境中的碰撞避免。原型车将能够通过感知传感器（包括LeddarTech提供的LiDAR传感器、雷达和摄像头）实时“看到”其环境，同时还能够使用最新的车联网（V2X）协议进行相互通信。车辆将包含一些二级和三级驾驶功能，以提高驾驶员/乘客的安全性。为了加快开发，将使用CM Labs的Vortex Studio创建一个数字孪生模型。先进的数字孪生模型将被学生和专业人士用作软件在环和驱动程序在环沙箱。该车辆将通过最先进的高保真仿真进行精心建模，其中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。