Paper Info
Title
Flexible architecture for driver assistance.
Abstract
To reduce the number of traffic accidents and to increase the drivers comfort, the thought of designing driver assistance systems rose in the past years. Principal problems are caused by having a moving observer (ego motion) in predominantly natural surroundings. In this paper we present a solution for a flexible architecture for a driver assistance system. The architecture can be subdivided into four different parts: the object-related analysis, the knowledge base, the behavior-based scene interpretation, and the behavior planning unit. The object-related analysis is fed with data by the sensors (e.g., vision, radar). The sensor data are preprocessed (flexible sensor fusion) and evaluated (saliency map) searching for object-related information (positions, types of objects, etc.). The knowledge base is represented by static and dynamic knowledge. It consists of a set of rules (e.g., traffic rules, physical laws), additional information (i.e., GPS, lane-information) and it is implicitly used by algorithms in the system. The scene interpretation combines the information extracted by the object related analysis and inspects the information for contradictions. It is strongly connected to the behavior planning using only information needed for the actual task. In the scene interpretation consistent representations (i.e., bird's eye view) are organized and interpreted as well as a scene analysis is performed. The results of the scene interpretation are used for decision making in behavior planning, which is controlled by the actual task. The influence of behavior planning on the behavior of the guided vehicle is limited to advices as no mechanical control (e.g., control of the steering angle) was implemented. An Intelligent Cruise Control (ICC) is shown as a spin-off for using this architecture.
Year
DOI
Venue
1999
10.1117/12.369241
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
computer vision,architecture,intelligent vehicles,intelligent cruise control,driver assistance
Computer vision,User assistance,Information processing,Cruise control,Decision support system,Advanced driver assistance systems,Sensor fusion,Artificial intelligence,Systems architecture,Knowledge base,Physics
Conference
Volume
ISSN
Citations 
3838
0277-786X
3
PageRank 
References 
Authors
1.44
6
4
Name
Order
Citations
PageRank
Uwe Handmann113927.63
Iris Leefken252.75
christos tzomakas312323.55
W von Seelen4503140.13