Multi-Sensor Deep Integration for Next Generation Land Vehicle Positioning and Navigation

多传感器深度集成下一代陆地车辆定位导航

• 批准号: RGPIN-2015-06493
• 负责人: Noureldin, Aboelmagd
• 金额: $ 2.19万
• 依托单位: Royal Military College of Canada
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=661053
• 关键词: Multi; Sensor; Deep; Integration; Next; Multi; Sensor; Deep; Integration; Next

Present land vehicle positioning and navigation (POS/NAV) systems provide drivers with route guidance information relying mostly on the Global Positioning System (GPS). They have become indispensable in many of the new automobile models, and their design concepts have evolved to include functionalities that make them more than just a vehicle location and map displaying system. Future land vehicle POS/NAV technology will integrate number of sensors and systems to increase the driving efficiency and enhance both driver's experience and safety. In addition, intelligent transportation systems (ITS) require a POS/NAV system that can provide sub-meter accuracy to enable efficient operation of newly emerging ITS technologies including cooperative vehicles for improved urban mobility and for cooperative collision avoidance.***GPS - based POS/NAV systems suffer from satellite signal blockage, interference and multipath usually experienced by land vehicles in urban canyons. Integration with vehicle motion sensors (speedometers, accelerometers and gyroscopes) enhances the performance for short period of time. However, the required level of accuracy for the above applications, which is sub-meter accuracy 95% of the time, has not been yet achieved. Land vehicles are now equipped with vision cameras, Radar and light detection and ranging (LiDAR) devices utilized for blind spot display and forward collision and lane departure warning systems. The availability of these technologies provides an attractive opportunity to further increase the POS/NAV system accuracy.***The ultimate goal of this research is the development of next generation integrated multi-sensor POS/NAV system capable of offering seamless positioning at sub-meter level of accuracy for land vehicles. This project will device a new POS/NAV paradigm that expands the capabilities of current GPS receiver technology for robust processing of GPS satellite signals in challenging urban canyons. It will also enable the integration of GPS with wider range of sensors and systems of complimentary characteristics on a single platform. The core development will be based on a reconfigurable GPS software receiver that will be developed in this research to enable access to the low-level signal observables inside the GPS receiver. ***A POS/NAV system with continuous sub-meter accuracy shall have a significant impact in wide range of applications. For instance, car industry will benefit from a POS/NAV system that increases driving efficiency and enhances driver's experience and safety. The proposed POS/NAV technology shall maintain reliable and robust performance for different ITS applications and services. It will enable efficient interaction between the vehicle drivers, the ITS and the road network infrastructure. Unmanned vehicles widely used in national defence and mining industry will also benefit from the proposed technology.**

当前的陆地车辆定位和导航（POS/NAV）系统为驾驶员提供了主要依赖全球定位系统（GPS）的路线指南信息。在许多新的汽车模型中，它们已经变得必不可少，并且它们的设计概念已经发展为包括功能，使它们不仅仅是车辆位置和地图显示系统。未来的陆地车辆POS/NAV技术将集成数量的传感器和系统，以提高驾驶效率并提高驾驶员的经验和安全性。此外，智能运输系统（ITS）需要一个POS/NAV系统，该系统可以提供子米的准确性，以便能够有效地运行其新出现的技术，包括改善城市移动性和合作协作避免的合作工具。*** GPS-基于卫星信号阻滞和多个陆地车辆经验丰富的卫星信号障碍，通常是由卫星信号障碍，通常是在陆地上乘坐陆地车辆。与车辆运动传感器（速度计，加速度计和陀螺仪）的集成可在短时间内提高性能。但是，尚未实现上述应用所需的准确性水平，即次级准确性的时间为95％。现在，陆地车辆配备了视觉摄像机，雷达和光检测和射程（LIDAR）设备，用于盲点显示和前进碰撞以及车道出发警告系统。这些技术的可用性为进一步提高了POS/NAV系统的准确性提供了一个有吸引力的机会。该项目将设备一个新的POS/NAV范式，该项目扩大了当前GPS接收器技术的功能，以在挑战Urban Canyons中对GPS卫星信号进行稳健处理。它还将使GP与单个平台上的广泛传感器和免费传感器系统集成。核心开发将基于可重新配置的GPS软件接收器，该接收器将在本研究中开发，以便访问GPS接收器内部的低级信号可观察物。 ***具有连续次级精度的POS/NAV系统应在广泛的应用中产生重大影响。例如，汽车行业将受益于提高驾驶效率并提高驾驶员的经验和安全性的POS/NAV系统。拟议的POS/NAV技术应为不同的应用和服务保持可靠和稳健的性能。它将实现车辆驱动程序，ITS和道路网络基础设施之间的有效互动。在国防和采矿业中广泛使用的无人车也将从拟议的技术中受益。**