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Behaviour planning for driver assistance using neural field dynamics

  • The behavior planning of a vehicle in real world traffic is a difficult problem to be solved. If different hierarchies of tasks and purposes are built to structure the behavior of a driver, complex systems can be designed. But finally behavior planning in vehicles can only influence the controlled variables: steering angle and velocity. In this paper a behavior planning for a driver assistance system aiming on cruise control is proposed. In this system the controlled variables are determined by an evaluation of the dynamics of two one-dimensional neural fields. The stimuli of the field are determined according to sensor information produced by a simulation environment.

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Metadaten
Author:Uwe Handmann, Iris Leefken, Axel Steinhage, Werner von Seelen
URL:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.34.9398
URL:http://www.handmann.net/pdf/NC-HanLeeStevSe2000.pdf
DOI:https://doi.org/10.1.1.34.9398
Parent Title (English):Second International Symposium 'Neural Computation'
Document Type:Conference Proceeding
Language:English
Year of Completion:2000
Release Date:2019/07/03
Pagenumber:7
Institutes:Fachbereich 1 - Institut Informatik
DDC class:000 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Licence (German):License LogoNo Creative Commons