Lane detection in urban environments using models of probability and evidence theory

被引：2

作者：

Duchow, Christian ^{[1
]}

Friedl, Martin ^{[2
]}

机构：

[1] Univ Karlsruhe, Inst Mess & Regelungstech, D-76131 Karlsruhe, Germany

[2] BMW Grp, D-80807 Munich, Germany

来源：

TM-TECHNISCHES MESSEN | 2008年 / 75卷 / 7-8期

关键词：

innercity lane detection; bayesian mode; evidence theoretical modeling;

D O I：

10.1524/teme.2008.0882

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

This contribution describes two approaches to video-based inner-city lane detection. The approaches address the particular challenges of inner-city traffic scenarios by using a probabilistic and evidence-theoretical formulation, respectively, in combination with a flexible lane model. Local orientation and anisotropy in the video image constitute the feature. The probability densities and the mass functions are formulated, fusion strategies discussed and results presented.

引用

页码：464 / 471

页数：8

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