Abstract

Navigation systems provide the optimized route from one location to another. It is mainly assisted by external technologies such as Global Positioning System (GPS) and satellite-based radio navigation systems. GPS has many advantages such as high accuracy, available anywhere, reliable, and self-calibrated. However, GPS is limited to outdoor operations. The practice of combining different sources of data to improve the overall outcome is commonly used in various domains. GIS is already integrated with GPS to provide the visualization and realization aspects of a given location. Internet of things (IoT) is a growing domain, where embedded sensors are connected to the Internet and so IoT improves existing navigation systems and expands its capabilities. This chapter proposes a framework based on the integration of GPS, GIS, IoT, and mobile communications to provide a comprehensive and accurate navigation solution. In the next section, we outline the limitations of GPS, and then we describe the integration of GIS, smartphones, and GPS to enable its use in mobile applications. For the rest of this chapter, we introduce various navigation implementations using alternate technologies integrated with GPS or operated as standalone devices.

Highlights

  • The limitations of Global Positioning System (GPS)Some of the downsides of GPS are listed in [1]

  • A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present all types of geographical data

  • The architecture is composed of Wi-Fi for proximity detection of busses by the passenger’s mobile phone, a smartphone application for trip planning using macronavigation, a context-aware trip hints using micro-navigation, context sensing, bus ride recognition, and trip tracking

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Summary

The limitations of GPS

Some of the downsides of GPS are listed in [1]. The weak intensity signal causes GPS to be less applicable for cases where stable navigating is mandatory or cases where navigating at indoor and covered areas. The low granularity of the signal accuracy makes navigation in crowded cities where landmarks are so close such that GPS is not able to differentiate among them and so is not effective. The impact of unreliable GPS is huge especially due to the constant growing use of navigation applications such as Google Maps and Waze, which heavily rely on GPS signal. The impact may be more car accidents in cases where required information is missed exactly at the time it is critical and useful for driving continuation. To reduce the dependency on GPS, several methods and technologies have been proposed, such as detailed map information, data from sensors, vision-based measurements, stop lines, and GPS-fused SLAM technologies

GPS and GIS integration
GPS and mobile phone integration
Urban vehicles navigation
Bus navigation using embedded Wi-Fi and a smartphone application
GNSS/IMU sensor fusion scheme
Navigation based on compass-based navigation control law
Autonomous navigation of micro aerial vehicles
Vision-based navigation for micro helicopters
Space navigation using formation flying tiny satellites
Pedestrian navigation systems
Landmark-based pedestrian navigation systems
Shoe navigation based on micro electrical mechanical system
Indoor navigation technologies
NFC-based indoor navigation system
Indoor garage navigation based on car-to-infrastructure communication
Autonomous vision-based micro air vehicle (MAV) for indoor and outdoor navigation
Obstacle avoidance navigation systems
Image processing obstacle avoidance navigation
Fuzzy logic technique for mobile robot obstacle avoidance navigation
Context-aware mobile wearable system with obstacle avoidance
Conclusions
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