About robust hypotheses generation and object validation in traffic scenes

Author

Schneider, Martin ; Gayko, Jens ; Goerick, Christian

Author_Institution

Tech. Univ. Darmstadt, Darmstadt

fYear

2007

fDate

13-15 June 2007

Firstpage

37

Lastpage

43

Abstract

Environmental perception is an important element of advanced driver assistance systems. The perception mainly consists of the steps sensing and data interpretation. Both of these steps are affected by errors due to noise and misinterpretations. Therefore, we present a system design addressing the problem of robust processing under limited resources in a hierarchical system architecture that can use state of the art data-fusion and object-recognition methods.

Keywords

driver information systems; image fusion; object recognition; optical tracking; road traffic; road vehicles; data fusion; data interpretation; driver assistance system; environmental perception; hierarchical system architecture; object recognition; object validation; optical tracking; road traffic; road vehicle; robust hypotheses generation; Automatic generation control; Europe; Hierarchical systems; Intelligent vehicles; Layout; Noise robustness; Research and development; Robust control; Sensor fusion; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Vehicles Symposium, 2007 IEEE

Conference_Location

Istanbul

ISSN

1931-0587

Print_ISBN

1-4244-1067-3

Electronic_ISBN

1931-0587

Type

conf

DOI

10.1109/IVS.2007.4290088

Filename

4290088