Fusion of Sensor Data in Siemens Car Navigation System

Obradović, Dragan; Lenz, H.; Schupfner, Markus

doi:10.1109/tvt.2006.883731

Cited by 60 publications

(25 citation statements)

References 6 publications

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“…Having said that there are a different types of map matching, basically using the estimated trajectory in combination with the GPS measurement in order to retrieve the most likely position. They are sometimes referred to as point-to-point, point-to-curve, and curve-to-curve matching, [11,[19][20][21]. For a detailed survey over map-matching we refer to [22].…”

Section: Road Maps and Map Matchingmentioning

confidence: 99%

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The Future of Automotive Localization Algorithms: Available, reliable, and scalable localization: Anywhere and anytime

Karlsson

Gustafsson

2017

IEEE Signal Process. Mag.

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Section: Road Maps and Map Matchingmentioning

confidence: 99%

“…• Databases: vectorized road maps, [15][16][17][18], utilized for positioning including road height, map-matching, [11,[19][20][21][22], and pothole indications, [23], etc.…”

Section: Introductionmentioning

confidence: 99%

The Future of Automotive Localization Algorithms: Available, reliable, and scalable localization: Anywhere and anytime

Karlsson

Gustafsson

2017

IEEE Signal Process. Mag.

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“…This is a promising avenue of research where hybrid techniques can be useful to obtain more efficient exploration and feature extraction algorithms. Kalman Filters have been applied with some success to this problem [6,8,22,26,37,67,69,77,114] in the context of SLAM. There are already some hybridizations of Kalman Filter based approaches with fuzzy systems for single mobile robots in environments that do not fit in the linear modeling paradigm easily [27,34,69,101,117,119,120,131].…”

Section: Perceptionmentioning

confidence: 99%

On the potential contributions of hybrid intelligent approaches to Multicomponent Robotic System development

Duro

Graña

Lope

2010

Information Sciences

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“…Current accelerometers are MEMS devices (Microelectromechanical Systems) that allow analysis of motion dynamics and the displacement of an object. These two sources have been used to analyze similar problems in cars [8].…”

Section: Introductionmentioning

confidence: 99%

Vehicle risks assessment using a nokia N95

Reveriego

García

Hernández

2009

2009 12th International IEEE Conference on Intelligent Transportation Systems

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This paper presents an application capable of identifying hazardous spots in roads and dangerous situations caused by human mistakes or reckless driving. Our work relies on a mobile phone since most users already have one and usually take it with them everywhere they go, even when they travel by car. Specifically, we use a Nokia N95 because is provided with GPS (Global Positioning System) and an accelerometer which make it possible to perform an economic, preventive, non invasive and efficient monitoring. Our application analyzes the data coming from these two independent and correlated sources of information during a car journey. The development of an application specifically designed for Nokia N95 was required. This application was to capture all the necessary data that would, afterwards, be analyzed off-line in a computer. The result is a report on the route and any potential problems that may have arisen along the journey using a Geographic Information System (GIS) as support. This standard-based report can be visualized with various compatible GIS. We have used Google Earth due to its public and free accessibility. Results in different road trips by different drivers have proven the validity of the approach.

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Fusion of Sensor Data in Siemens Car Navigation System

Cited by 60 publications

References 6 publications

The Future of Automotive Localization Algorithms: Available, reliable, and scalable localization: Anywhere and anytime

The Future of Automotive Localization Algorithms: Available, reliable, and scalable localization: Anywhere and anytime

On the potential contributions of hybrid intelligent approaches to Multicomponent Robotic System development

Vehicle risks assessment using a nokia N95

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