Research on Intelligent Wheelchair Obstacle Avoidance Based on AdaBoost

Jing Chen; Jing Li Niu; Dong Hai Chen

doi:10.4028/www.scientific.net/AMM.312.685

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 312Research on Intelligent Wheelchair Obstacle...

Research on Intelligent Wheelchair Obstacle Avoidance Based on AdaBoost

Abstract:

With the computer image processing and technology development, vision sensors in mobile robot navigation and obstacle recognition was paid more and more attention. In this paper Adaboost algorithm is used to identify obstacles of intelligent wheelchair in Visual c + +6.0 platforms. With the AdaBoost algorithm training strong classifier for obstacle detection, then use the classifier to detect the target obstacle. Fuzzy neural network is used to fusion sonar information and visual information of wheelchair make the obstacle avoidance path of the wheelchair to be more intelligent and optimization.

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Periodical:

Applied Mechanics and Materials (Volume 312)

Pages:

685-689

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.312.685

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Online since:

February 2013

Authors:

Jing Chen, Jing Li Niu, Dong Hai Chen

Keywords:

Adaboost Algorithm, Haar-Like Features, Intelligent Wheelchair, Target Recognition

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