scholarly journals Shared control strategies for obstacle avoidance tasks in an intelligent wheelchair

2008 ◽  
Author(s):  
Hoang T. Trieu ◽  
Hung T. Nguyen ◽  
Keith Willey
Keyword(s):  
Obstacle Avoidance ◽  
Control Strategies ◽  
Shared Control ◽  
Intelligent Wheelchair

A robotic intelligent wheelchair system based on obstacle avoidance and navigation functions

2014 ◽  
Vol 27 (4) ◽  
pp. 471-482 ◽  
Author(s):  
Mohammed Alshraideh ◽  
Basel A. Mahafzah ◽  
Saleh Al-Sharaeh ◽  
Ziad M. Hawamdeh
Keyword(s):  
Obstacle Avoidance ◽  
Intelligent Wheelchair

scholarly journals Context-Based Filtering for Assisted Brain-Actuated Wheelchair Driving

2007 ◽  
Vol 2007 ◽  
pp. 1-12 ◽  
Author(s):  
Gerolf Vanacker ◽  
José del R. Millán ◽  
Eileen Lew ◽  
Pierre W. Ferrez ◽  
Ferran Galán Moles ◽  
...  
Keyword(s):  
Control System ◽  
Shared Control ◽  
Eeg Signals ◽  
Intelligent Processing ◽  
Intelligent Wheelchair ◽  
Brain Signals ◽  
Brain Interface ◽  
The Subject ◽  
Electroencephalogram Eeg ◽  
The Brain

Controlling a robotic device by using human brain signals is an interesting and challenging task. The device may be complicated to control and the nonstationary nature of the brain signals provides for a rather unstable input. With the use of intelligent processing algorithms adapted to the task at hand, however, the performance can be increased. This paper introduces a shared control system that helps the subject in driving an intelligent wheelchair with a noninvasive brain interface. The subject's steering intentions are estimated from electroencephalogram (EEG) signals and passed through to the shared control system before being sent to the wheelchair motors. Experimental results show a possibility for significant improvement in the overall driving performance when using the shared control system compared to driving without it. These results have been obtained with 2 healthy subjects during their first day of training with the brain-actuated wheelchair.

Research on Intelligent Wheelchair Obstacle Avoidance Based on AdaBoost

2013 ◽  
Vol 312 ◽  
pp. 685-689 ◽  
Author(s):  
Jing Chen ◽  
Jing Li Niu ◽  
Dong Hai Chen
Keyword(s):  
Obstacle Avoidance ◽  
Visual Information ◽  
Technology Development ◽  
Obstacle Detection ◽  
Mobile Robot Navigation ◽  
Adaboost Algorithm ◽  
Intelligent Wheelchair ◽  
Vision Sensors ◽  
Computer Image Processing ◽  
Fuzzy Neural

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.

Obstacle Avoidance of Omnidirectional Intelligent Wheelchair Based on Multi-Sensors

2015 ◽  
Vol 742 ◽  
pp. 590-593 ◽  
Author(s):  
Xiu Zhi Li ◽  
Zhao Liu ◽  
Song Min Jia
Keyword(s):  
Obstacle Avoidance ◽  
Information Fusion ◽  
Visual Information ◽  
Distance Information ◽  
Wheelchair Users ◽  
Optical Flow Method ◽  
Intelligent Wheelchair ◽  
Handicapped People ◽  
Relevant Community

As the number of handicapped people increases worldwidely, the role of electric wheelchair becomes important to enhance their mobility. In the relevant community, attention is mainly directed to how to solve the problems in motion control for the wheelchair users, and scarce reports have appeared concerning obstacle avoidance of wheelchair. In this paper, we present a new method of obstacle avoidance for omnidirectional intelligent wheelchair bases on multi-sensors information fusion. Distance information acquired from ultrasonic sensors and visual information acquired from monocular camera are combined together, in which optical flow method is employed to distinguish obstacles. Extensive experiments have been conducted in the laboratory. As shown in experimental results that, the developed omnidirectional intelligent wheelchair works correctly and effectively in obstacle avoidance.

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