English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Image Processing and Behaviour Planning for Intelligent Vehicles

Bücher, T., Curio, C., Edelbrunner J, Igel C, Kastrup D, Leefken I, Lorenz G, Steinhage, A., & von Seelen, W. (2003). Image Processing and Behaviour Planning for Intelligent Vehicles. IEEE Transactions on Industrial Electronics, 90(1), 62-75. doi:10.1109/TIE.2002.807650.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Bücher, T, Author
Curio, C1, Author           
Edelbrunner J, Igel C, Kastrup D, Leefken I, Lorenz G, Steinhage, A, Author
von Seelen, W, Author
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

Content

show
hide
Free keywords: -
 Abstract: Since the potential of soft-computing for driver assistance systems has been recognized, much effort has been spent in the development of appropriate techniques for robust lane detection, object classification, tracking, and representation of task relevant objects. For such systems in order to be able to perform their tasks the environment must be sensed by one or more sensors. Usually a complex processing, fusion, and interpretation of the sensor data is required and imposes a modular architecture for the overall system. In this paper, we present specific approaches considering the main components of such systems. We concentrate on image processing as the main source of relevant object information, representation and fusion of data that might arise from different sensors, and behaviour planning and generation as a basis for autonomous driving. Within our system components most paradigms of soft-computing are employed; in this article we focus on Kalman-Filtering for sensor fusion, Neural Field dynamics for behaviour generation, and Evolutionary Algorithms for optimization of parts of the system. Keywords: Driver Assistance Systems, Real-time com puter vision, vehicle and lane Detection, pedestrian recognition, context based object recognition, data representation, behaviour planning and generation, intelligent vehicles

Details

show
hide
Language(s):
 Dates: 2003-02
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: IEEE Transactions on Industrial Electronics
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 90 (1) Sequence Number: - Start / End Page: 62 - 75 Identifier: -