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Modeling of uncertain environment based on multi-scale grid method

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the research domain of intelligent driving technology, modeling of the dynamic and uncertain environment is very important for path planning. The accuracy and computational efficiency of path planning depend on environment modeling to a great extent. Inspired by selective attention mechanism of human, this paper proposes multi-scale grid method to model the road environment of intelligent vehicle. The road environment is divided into multi-scale grids. The grids representing the regions close to the vehicle are of large size. The grids representing the regions far away from the vehicle are of small size. The multi-scale gird function is presented to calculate the size of grid. Experimental results show that the proposed algorithm provides an efficient solution to the conflict between computational complexity and modeling accuracy.

Original languageEnglish
Title of host publicationProceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012
Pages1205-1209
Number of pages5
DOIs
StatePublished - 13 Nov 2013
Externally publishedYes
Event2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012 - Hangzhou, China
Duration: 30 Oct 20121 Nov 2012

Publication series

NameProceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012
Volume3

Conference

Conference2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012
Country/TerritoryChina
CityHangzhou
Period30/10/121/11/12

Keywords

  • environment modeling
  • multi-scale grid
  • path planning
  • selective attention

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