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.
Author: | Uwe Handmann, Iris Leefken, Axel Steinhage, Werner von Seelen |
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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 |
Page Number: | 7 |
Institutes: | Fachbereich 1 - Institut Informatik |
DDC class: | 000 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik |
Licence (German): | ![]() |