uNavi : Implementation and Deployment of a Place-Based Pedestrian Navigation System

Bessho, Masahiro; Kobayashi, Shinsuke; Koshizuka, Noboru; Satoh, Ken

doi:10.1109/compsac.2008.70

Cited by 17 publications

(9 citation statements)

References 9 publications

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“…Many navigation instruction arrows were therefore not helpful for the navigation task. This experience lies in line with [7] and [15]. They augment photos of landmarks with navigation information in the form of arrows, and either need to improve the position information by analyzing the camera angle to avoid misleading navigation instructions [15] or used in advance prepared pictures and superimposed arrows [7].…”

Section: Navigation Modes -Supported By Perposnavmentioning

confidence: 95%

“…Finally, many of the existing pedestrian navigation systems are landmark based [26] [7]. However, it is cumbersome and will introduce an extra cost to the navigation application to annotate large amounts of buildings with landmark information.…”

Section: Challenges Inherent In Indoor Pedestrian Navigationmentioning

confidence: 98%

“…Most indoor locations are not well documented by photos annotated with positions and shared in social applications. Pictures to aid navigation would therefore have to be made expressly to support navigation applications, as is done in uNavi [6] [7]. It would be interesting to compare spatial knowledge acquisition and navigation performance when using the geometry of the locations, landmarks and both in navigation instructions.…”

Section: Comparison Of Perposnav With Related Workmentioning

confidence: 99%

“…Pedestrian navigation on the basis of visual clues projected on top of a map is known from GPS navigation services on smartphones such as maps.google.com and maps.bing.com and from research projects also for indoor navigation [2] [7]. The user's position is used to center a map shown to the user.…”

Section: Mobile Map Navigationmentioning

confidence: 99%

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Indoor Pedestrian Navigation Based on Hybrid Route Planning and Location Modeling

Schougaard

Grønbæk

Scharling

2012

Lecture Notes in Computer Science

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Abstract. This paper introduces methods and services called PerPosNav for development of custom indoor pedestrian navigation applications to be deployed on a variety of platforms. PerPosNav is built on top of the PerPos positioning middleware [8] that fusions GPS, WiFi and inertial tracking into indoor positioning with high accuracy in many types of buildings. The challenges of indoor navigation are discussed and the PerPosNav services are introduced. PerPosNav combines symbolic and geometry based modeling of buildings, and in turn combines graph-based and geometric route computation. The paper argues why these hybrid approaches are necessary to handle the challenges of indoor pedestrian navigation. Furthermore, a fluent navigation is maintained via route tracking and navigation services that generate instructions based on how the user moves in relation to the prescribed route. The viability of PerPosNav has been proven by implementation of support for multiple modes of pedestrian indoor navigation: 1) augmented signs, 2) map based navigation on smartphones, 3) auditory navigation on smartphones solely via earbuds, and 4) augmented reality navigation. Experiences from the use of the PerPosNav services are discussed and compared to other indoor pedestrian navigation approaches.

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Section: Navigation Modes -Supported By Perposnavmentioning

confidence: 95%

Section: Challenges Inherent In Indoor Pedestrian Navigationmentioning

confidence: 98%

Section: Comparison Of Perposnav With Related Workmentioning

confidence: 99%

Section: Mobile Map Navigationmentioning

confidence: 99%

See 2 more Smart Citations

Indoor Pedestrian Navigation Based on Hybrid Route Planning and Location Modeling

Schougaard

Grønbæk

Scharling

2012

Lecture Notes in Computer Science

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“…Hile et al (2008) and Bessho et al (2008) describe the implementation and deployment of a pedestrian navigation system which realizes a timely navigation by presenting landmark-based instruction of guidance using high-level reasoning to influence the selection of landmarks along a navigation path and lower-level reasoning to select appropriate images of those landmarks. Stark et al (2007) describe a field study comparing four different navigational concepts i.e.…”

Section: Global Positioning System-based Navigation Systemsmentioning

confidence: 99%

A GPS-based real-time avalanche path warning and navigation system

Dewali

Joshi

Ganju

et al. 2013

Geomatics, Natural Hazards and Risk

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Frequent avalanche activity and poor route visibility due to bad weather make snow bound mountainous regions quite unsafe for travel during the winter months. Hence, there is a need for an accurate navigation device that can help in the safe movement of mountain travellers in avalanche prone areas. This paper presents the design and implementation of a portable GPS-based warning and navigation system, capable of providing safe navigation to mountain travellers in avalanche-prone regions. The system uses a hand-held GPS with a positional accuracy of 2-5 m. A customized application has been developed for the visualization of maps, navigation, positioning, tracking and issuing avalanche path warning. On the basis of registered avalanche path data, this application updates the traveller at predefined time intervals on whether the current position of the traveller is inside or outside an avalanche path. When the traveller enters an avalanche prone area, a warning in the form of text and voice messages is generated by the device. For the testing and accuracy analysis of this application, a part of the Manali-Dhundi highway was designated as the study area. In numerous track tests, the system has demonstrated a high level of accuracy and a repetition in locating registered avalanche sites in open slopes/bare lands but accuracy deteriorated in narrow valley/forested areas. An analysis of the trial results shows that the system can help travellers in snowbound mountain regions as a warning and navigation tool, using accurately registered avalanche sites and an appropriate buffer size around these sites.

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Universal Navigation

Karimi¹

2011

Universal Navigation on Smartphones

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uNavi : Implementation and Deployment of a Place-Based Pedestrian Navigation System

Cited by 17 publications

References 9 publications

Indoor Pedestrian Navigation Based on Hybrid Route Planning and Location Modeling

Indoor Pedestrian Navigation Based on Hybrid Route Planning and Location Modeling

A GPS-based real-time avalanche path warning and navigation system

Universal Navigation

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