NDLI: Modeling of uncertain environment based on multi-scale grid method

Content Provider	IEEE Xplore Digital Library
Author	Jianhui Zhao Peng Jia Shaobo Fu
Copyright Year	2012
Description	Author affiliation: Mil. Transp. Univ., Tianjin, China (Jianhui Zhao; Peng Jia; Shaobo Fu)
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.
Starting Page	1205
Ending Page	1209
File Size	283732
Page Count	5
File Format	PDF
e-ISBN	9781467318570
DOI	10.1109/CCIS.2012.6664575
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Environment modeling Selective attention Accuracy Intelligent vehicles Computational modeling Roads Path planning Mathematical model Multi-scale grid Vehicles
Content Type	Text
Resource Type	Article

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