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，包括目前开放天空中的 GPS 等全球导航卫星系统 (GNSS) 和室内无线局域网 (WLAN)。然而，它们在一些具有挑战性的环境中仍然存在信号阻塞、干扰和多路径等缺点。然而，当前的集成 POS/NAV 系统仍然依赖于传统方法（如卡尔曼或粒子滤波），这些方法在集成其他复杂信息源时受到很大限制。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传感器。这种差距要求传统导航概念发生范式转变。新概念必须转变 POS/NAV 技术。传统的个人和孤立的特定应用系统的观点转向智能导航代理的概念，智能导航代理可以读取、处理、解释、推断、学习、适应、通信和集成广泛的信息和传感器测量。研究的目的是建立并实现一个可靠、准确、可定制的多种应用的 POS/NAV 平台，以提高安全性和生活质量。为了实现这一目标，该项目的目标是将 GNSS/WLAN 技术与许多新兴传感器/系统相集成。尚未得到充分探索对于 POS/NAV 来说，集成越来越多的传感器/技术是一个挑战，仅使用卡尔曼或粒子滤波等传统方法无法解决，因此，本研究旨在设计一个基于 POS/NAV 的高效框架。该框架将导致开发导航代理，这些代理可以智能地管理和协调这套异构的传感器/技术，形成一致、准确和强大的智能导航系统。此外，该项目的目标是实现和部署。开发智能导航代理该项目在多传感器集成导航领域提供了根本性的概念变革。可以在室外和室内环境以及不同的移动平台上无缝工作，有潜力成为许多应用中普遍存在的支持技术，这项研究的意义在于它为提高许多领域的生活质量提供了机会。 , 残疾人士和限制者汽车行业将受益于 POS/NAV 系统，该系统可提高驾驶效率并增强驾驶员的体验和安全性，广泛应用于国防和采矿业的寻求米级精度的无人驾驶汽车也将受益于该系统。此外，获得上述技术知识的学生和研究人员将成为加拿大学术界和工业界的一笔巨大财富。