Automatic generation of a highly accurate map for driver assistance systems in road construction sites

Wimmer, Andreas; Jungel, Tobias; Gluck, Manuel; Dietmayer, Klaus

doi:10.1109/ivs.2010.5548047

Cited by 13 publications

(1 citation statement)

References 15 publications

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“…The road markings were extracted by an edge detection algorithm [6] and resulting edge point pairs originating from the same road marking were associated by a linear extrapolation based on a least-square fit in direction of the markings. The merged edge point pairs were transformed to the vehicle coordinate system.…”

Section: Tracking a Single Lanementioning

confidence: 99%

Probabilistic estimation of temporary lanes at road work zones

Graf

Wimmer

Dietmayer

2012

2012 15th International IEEE Conference on Intelligent Transportation Systems

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Road work zones pose a great challenge for the environmental perception with sensors and the correct modelling of the scenery. Especially the recognition of the valid lane is of great interest for driver assistance systems. At road work zones temporary lanes invalidate the original lanes while the latter are still present on the road. All lines are detected with a greyscale video camera. In this paper we present an approach which generates different hypotheses for the lanes originated from the two different types of lines. A particle filter is applied for smoothing and filtering while a JIPDA algorithm is used for association and with its existence estimation helps to find the most plausible hypothesis of the currently valid lane.

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Section: Tracking a Single Lanementioning

confidence: 99%