ROAD INTERPRETATION FOR DRIVER ASSISTANCE BASED ON AN EARLY COGNITIVE VISION SYSTEM

被引：0

作者：

Baseski, Emre ^{[1
]}

Jensen, Lars Baunegaard With ^{[1
]}

Pugeault, Nicolas ^{[1
]}

Pilz, Florian

Pauwels, Karl

Van Hulle, Marc M.

Woergoetter, Florentin

Kruger, Norbert ^{[1
]}

机构：

[1] Univ So Denmark, Maersk McKinney Moller Inst, Odense, Denmark

来源：

VISAPP 2009: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 1 | 2009年

关键词：

Large scale maps; Lane detection; Independently moving objects; STEREO;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this work, we address the problem of road interpretation for driver assistance based on an early cognitive vision system. The structure of a road and the relevant traffic are interpreted in terms of ego-motion estimation of the car, independently moving objects on the road, lane markers and large scale maps of the road. We make use of temporal and spatial disambiguation mechanisms to increase the reliability of visually extracted 2D and 3D information. This information is then used to interpret the layout of the road by using lane markers that are detected via Bayesian reasoning. We also estimate the ego-motion of the car which is used to create large scale maps of the road and also to detect independently moving objects. Sample results for the presented algorithms are shown on a stereo image sequence, that has been collected from a structured road.

引用

页码：496 / +

页数：3

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