Using Maps as Automotive Sensors
Driver Assistance and Awareness Applications
GNSS is all about positioning, sure. But for most automotive applications we need a map to help make sense of the GNSS data. A mapbase, however, can be more than a static background for location. Applied dynamically, map data can act as a sensor, providing context and situation awareness to in-vehicle systems and drivers.
Accurate real-time positioning is a necessary condition for many land transportation applications. But positioning alone cannot ensure successful and safer navigation, let alone higher-order driver assistance and awareness applications. The most common accessory to positioning is a map database — of more or less sophisticated design with greater or lesser data content and granularity.
Another resource and tool for navigation, route guidance, and advanced assistive systems is the application of geometrical principles to the positioning and mapbase data to anticipate or project upcoming conditions and events along a route.
This article introduces the map database as a sensor in driver assistance and awareness applications, which begin with a map-matched position and then look ahead from that position to determine the most likely driving path (MLP). From this calculation, we can support assistance and awareness applications such as curve speed warning, predictive adaptive front lighting systems, adaptive cruise control, and forward collision warning.
We will explore the role of MLP in these applications as well as its use in modifying route guidance instructions and map-matched positions. Finally, this article will also take up the question of map requirements and the navigation system interface needed for such applications.
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Driver Assistance, Awareness
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Land Vehicle Navigation
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Map Database as a Sensor
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Map database errors can arise in such road scenarios as merging, road connections (overpasses), divided/undivided roads, and mountains areas In order to optimally use the map database, such error sources should be defined and modeled. Furthermore, inclusion of additional information such as height or elevation could extend the usage of the map for other automotive applications. From a commercialization perspective, it is recommended to standardize the navigation system interface.
For the complete story, including figures, graphs, and images, please download the PDF of the article, above.
Author ProfilesFaroog Ibrahim is an algorithm and controls technical professional for the Driver Awareness Systems Department at Visteon Corporation, Michigan, USA. Born in Jordan, he holds a doctorate of engineering degree from the University of Detroit Mercy (USA/MI) with a major in electrical/electronic engineering. His areas of expertise include adaptive cruise control, path prediction, curve speed warning, predictive adaptive front lighting, land vehicle navigation, forward collision warning, estimation, and sensor fusion.
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