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: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=614181
• 关键词: 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.

目前的陆地车辆定位和导航（POS/NAV）系统主要依靠全球定位系统（GPS）为驾驶员提供路线引导信息，它们已成为许多新车型中不可或缺的一部分，其设计理念也已发展到包含功能。这使得它们不仅仅是一个车辆定位和地图显示系统。未来的陆地车辆 POS/NAV 技术将集成大量传感器和系统，以提高驾驶效率并增强驾驶员的体验和安全性。需要一个POS/NAV 系统可提供亚米级精度，以实现新兴 ITS 技术的高效运行，包括用于改善城市流动性和协作避免碰撞的协作车辆。 基于 GPS 的 POS/NAV 系统会受到城市峡谷中陆地车辆通常遇到的卫星信号阻塞、干扰和多路径的影响，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。上述应用的精度水平（95% 的情况下为亚米级精度）尚未实现。陆地车辆目前配备了视觉摄像头、雷达以及光探测和测距 (LiDAR) 设备。用于盲点显示以及前方碰撞和车道偏离警告系统，这些技术的可用性为进一步提高 POS/NAV 系统的准确性提供了诱人的机会。 这项研究的最终目标是开发下一代集成多传感器 POS/NAV 系统，能够为陆地车辆提供亚米级精度的无缝定位。该项目将设计一种新的 POS/NAV 范式，扩展其功能。现有的 GPS 接收器技术可在具有挑战性的城市峡谷中可靠地处理 GPS 卫星信号，它还可以将 GPS 与更广泛的传感器和具有互补特性的系统集成在一个平台上。软件接收器本研究将开发该技术，以便能够访问 GPS 接收器内的低水平信号观测值。 具有连续亚米级精度的 POS/NAV 系统将对广泛的应用产生重大影响，例如，汽车行业将受益于提高驾驶效率并增强驾驶员体验和安全性的 POS/NAV 系统。 NAV 技术将为不同的 ITS 应用和服务保持可靠和强大的性能，这将使车辆驾驶员、ITS 和道路网络基础设施之间的交互成为可能。广泛应用于国防和采矿业的无人驾驶车辆也将受益于该技术。