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Joint Road Geometry Estimation and Vehicle Tracking

Eidehall, Andreas (author)
Linköpings universitet,Reglerteknik,Tekniska högskolan
Pohl, Jochen (author)
Linköpings universitet,Fluida och mekatroniska system,Volvo Car Corporation, Sweden
Gustafsson, Fredrik (author)
Linköpings universitet,Reglerteknik,Tekniska högskolan,Volvo Car Corporation, Sweden
 (creator_code:org_t)
Linköping : Elsevier, 2007
2007
English.
Series: LiTH-ISY-R, 1400-3902 ; 2755
In: Control Engineering Practice. - Linköping : Elsevier. - 0967-0661 .- 1873-6939. ; 15:12, s. 1484-1494
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Detection and tracking of other vehicles and estimation of lane geometry will be required for many intelligent driver assistance systems in the future. By combining the processing of these two features into a single filter, better utilisation of the available information can be achieved. For instance, it is demonstrated that it is possible to improve the road shape estimate by including information about the lateral movement of leading vehicles. Statistical evaluation is done by comparing the estimated parameters to true values in varying road and weather conditions. The performance is also related to typical requirements of active safety applications such as adaptive cruise control and a new safety function called emergency lane assist.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)

Keyword

Active safety
Centralised filtering
Extended Kalman filter
Road shape estimation
Sensor fusion
Target tracking
Automatic control
Reglerteknik

Publication and Content Type

ref (subject category)
art (subject category)

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Eidehall, Andrea ...
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