Next Generation Smart Navigation Technology – From Systems to Smart Agents

下一代智能导航技术 — 从系统到智能代理

• 批准号: RGPIN-2014-03595
• 负责人: Noureldin, Aboelmagd
• 金额: $ 2.26万
• 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: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=565966
• 关键词: Next; Generation; Smart; Navigation; Technology

The recent advances in information and communication technologies necessitate the development of reliable positioning and navigation (POS/NAV) systems. Wireless positioning technologies including Global Navigation Satellite Systems (GNSS) like GPS in open sky and wireless Local Area Networks (WLAN) indoors are presently widely used for POS/NAV applications. However, they still suffer from several shortcomings such as signal blockage, interference and multipath in some challenging environments. Integration of GNSS/WLANs with other sensors (like accelerometers, gyroscopes and magnetometers) can bridge the accuracy gaps in such challenging environments. However, current integrated POS/NAV systems still depend on traditional methods (like Kalman or particle filtering). These methods suffer from significant limitations in integrating other sophisticated sources of information such as digital maps, knowledge bases, geographical information systems, image bases, and other sensors like vision and laser scanners. This gap calls for a paradigm shift in the traditional concept of navigation. The new concept has to transform the POS/NAV technology from the traditional view of individual and isolated application-specific systems toward the concept of smart navigation agents that can read, process, interpret, infer, learn from, adapt to, communicate and integrate a wide range of information and sensors measurements. The strategic long-term goal of this research is to establish and realize a reliable and accurate POS/NAV platform customizable to several applications to enhance the safety, security and quality of life. To achieve this goal, this project targets integrating GNSS/WLAN technologies with number of emerging sensors/systems that have not been sufficiently explored for POS/NAV purposes. The integration of such growing number of sensors/technologies is a challenge that cannot be addressed using only traditional methods like Kalman or particle filtering. Therefore, this research aims at designing an efficient framework for integrated POS/NAV based on modern soft computing techniques. This framework will lead to developing navigation agents that can smartly manage and coordinate this heterogeneous set of sensors/technologies into a consistent, accurate, and robust smart navigation system. Moreover, this project targets the realization and the deployment of the developed smart navigation agents in different mobile platforms for several applications utilizing the recent advances in computation capabilities and the availability of the above-mentioned sensors and sources of information. This project offers a fundamental conceptual change in the filed of multi-sensor integrated navigation. A POS/NAV system that can work seamlessly on both outdoor and indoor environments and on different mobile platforms has the potential to become a ubiquitous and enabling technology for many applications. The significance of this research is in the opportunities it opens to enhance quality of life in many areas. For instance, people with disabilities and limited mobility will enjoy an enhanced autonomy and safety. Car industry will benefit from a POS/NAV system that increases driving efficiency and enhances both driver’s experience and safety. Unmanned vehicles widely used in national defence and mining industry seeking meter level accuracy will also benefit from the proposed POS/NAV technology. Furthermore, students and researchers acquiring knowledge in the above technologies will be a great asset to the academia and industry in Canada.

信息和通信技术的最新进展需要开发可靠的定位和导航（POS/NAV）系统。无线定位技术包括全球导航卫星系统（GNSS），例如开放天空中的GPS和无线局域网（WLAN）在室内广泛用于POS/NAV应用程序。但是，它们仍然存在一些缺点，例如信号阻塞，干扰和GNSS/WLAN与其他传感器（例如加速度计，陀螺仪和磁力计）的多径整合可以弥合此类挑战环境中的准确性差距。但是，当前的集成POS/NAV系统仍然取决于传统方法（例如Kalman或粒子过滤）。这些方法在整合其他复杂的信息来源（例如数字地图，知识库，地理信息系统，图像库以及视觉和激光扫描仪）等其他复杂的信息来源时受到了重大限制。这个差距要求传统导航概念发生范式转变。新概念必须将POS/NAV技术从单个和孤立的应用程序系统的传统视图转换为可以读取，处理，解释，推断，学习，适应，传达，传达和集成广泛的信息和传感器测量的智能导航代理的概念。这项研究的战略长期目标是建立并实现可根据几种应用程序定制的可靠，准确的POS/NAV平台，以增强安全，安全和生活质量。为了实现这一目标，该项目的目标是将GNSS/WLAN技术与数量的新兴传感器/系统集成，这些传感器/系统尚未进行POS/NAV目的。这种越来越多的传感器/技术的集成是一个挑战，仅使用Kalman或粒子过滤等传统方法来解决。因此，这项研究旨在根据现代软计算技术设计一个有效的集成POS/NAV的框架。该框架将导致开发的导航代理，这些导航代理可以巧妙地管理和协调这组异质的传感器/技术集合成一个一致，准确且健壮的智能导航系统。此外，该项目针对不同移动平台中开发的智能导航代理的实现和部署，用于多种应用程序，利用计算功能的最新进展以及上述传感器和信息源的可用性。该项目在多传感器集成导航的提交中提供了根本的概念变化。一个可以在室外和室内环境和不同移动平台上无缝运行的POS/NAV系统，有可能成为许多应用程序的无处不在且有利的技术。这项研究的意义在于它为提高许多领域的生活质量而开放的机会。例如，残疾人和有限的流动性将享有增强的自主权和安全性。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。在国防和采矿行业寻求仪表水平准确性中广泛使用的无人车辆也将受益于拟议的POS/NAV技术。此外，在上述技术中获得知识的学生和研究人员将成为加拿大学术界和工业的重要资产。