Network-oriented road map generation for unknown roads using visual images and GPS-based location information

Lee, SeungGwan; Lee, DaeHo; Lee, Sung-Won

doi:10.1109/tce.2009.5277982

Cited by 17 publications

(5 citation statements)

References 7 publications

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“…Map generation [112] is critical to autonomous vehicle development. Instrumented vehicles connect and synthesize localization data to improve positioning accuracy while simultaneously generating maps [113]- [115], or otherwise apply cooperative sensing to facilitate decision making [116].…”

Section: B V2v and V2i Applicationsmentioning

confidence: 99%

A Survey of the Connected Vehicle Landscape—Architectures, Enabling Technologies, Applications, and Development Areas

Siegel

Erb

Sarma

2018

IEEE Trans. Intell. Transport. Syst.

343

176

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This paper summarizes the state of the art in connected vehicles-from the need for vehicle data and applications thereof, to enabling technologies, challenges, and identified opportunities. Connectivity is increasing around the world and its expansion to vehicles is no exception. With improvements in connectivity, sensing, and computation, the future will see vehicles used as development platforms capable of generating rich data, acting based on inference, and effecting great change in transportation, the human-vehicle dynamic, the environment, and the economy. Connected vehicle technologies have already been used to improve fleet safety and efficiency, with emerging technologies additionally allowing data to be used to inform aspects of vehicle design, ownership, and use. While the demand for connected vehicles and its enabling technology has progressed significantly in recent years, there remain challenges to connected and collaborative vehicle application deployment before the full potential of connected cars may be realized. From extensibility and scalability to privacy and security, this paper informs the reader about key enabling technologies, opportunities, and challenges in the connected vehicle landscape.

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Section: B V2v and V2i Applicationsmentioning

confidence: 99%

A Survey of the Connected Vehicle Landscape—Architectures, Enabling Technologies, Applications, and Development Areas

Siegel

Erb

Sarma

2018

IEEE Trans. Intell. Transport. Syst.

343

176

View full text Add to dashboard Cite

show abstract

“…So, Lee et al, [24][25][26] proposed an automated map DB generation and updating architecture. That is, when a user drives unknown roads that do not appear in the car's navigation map, the cloud-oriented car navigation system extracts GPS and image data reflective of the unknown roads.…”

Section: Volunteered Geographic Information and Map Db Generationmentioning

confidence: 99%

XML Map Metadata Format for Open Map Sources: A Survey and Overview

Lee

An²,

Lee

2013

IJMUE

Self Cite

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“…Hence, a polyline is described by a finite set of segments among which a node is a final or transitional point from one segment to another one in the map. Updating a map database is complex, time consuming, and costly since it requires many land surveys or it does not lead to a real-time update because of vectorization of outdated aerial or satellite images to locate road segments [6], [7]. However, these methods have the advantage of also dealing with cases of canceled roads.…”

Section: Overviewmentioning

confidence: 99%

Automatic Detection of Topological Changes for Digital Road Map Updating

Boucher

Noyer

2012

IEEE Trans. Instrum. Meas.

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This paper highlights a method to detect topological changes of digital road maps automatically. Here, the road network updating can be done in real time. It relies on collected GPS data from vehicles. These data are fused with existing road map data by an unscented Kalman filter in a centralized scheme. We modeled the map data as a sensor that allows accounting for the errors and uncertainties of land surveying. The core of our method is a probabilistic map-matching approach that is used to manage the road network database through the computation of the Mahalanobis distance. We show experimental results from an urban transport network scenario in which we deal with the case of opened roads and the recent conversion of a crossroad into a roundabout. Then, the obsolete map database is updated to ensure a more reliable route planning.Index Terms-Digital road map management, globalnavigation-satellite-system-based navigation, land-vehicle localization, multisensor fusion, nonlinear filtering.

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Network-oriented road map generation for unknown roads using visual images and GPS-based location information

Cited by 17 publications

References 7 publications

A Survey of the Connected Vehicle Landscape—Architectures, Enabling Technologies, Applications, and Development Areas

A Survey of the Connected Vehicle Landscape—Architectures, Enabling Technologies, Applications, and Development Areas

XML Map Metadata Format for Open Map Sources: A Survey and Overview

Automatic Detection of Topological Changes for Digital Road Map Updating

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