Research on Intelligent Wheelchair Obstacle Avoidance Based on AdaBoost
| Autor: | Dong Hai Chen, Jing Li Niu, Jing Chen |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Engineering
Artificial neural network business.industry General Medicine Machine learning computer.software_genre Sonar Mobile robot navigation ComputingMethodologies_PATTERNRECOGNITION Haar-like features Wheelchair Obstacle Obstacle avoidance Computer vision Artificial intelligence AdaBoost business computer |
| Zdroj: | Applied Mechanics and Materials. 312:685-689 |
| ISSN: | 1662-7482 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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