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

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.

Adjustability of Neural Networks with Variant Connection Weights for Obstacle Avoidance in an Intelligent Wheelchair

2007 ◽  
Vol 11 (8) ◽  
pp. 922-930 ◽  
Author(s):  
Toshihiko Yasuda ◽  
◽  
Hajime Tanaka ◽  
Kazushi Nakamura ◽  
Katsuyuki Tanaka ◽  
...  
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Obstacle Avoidance ◽  
Connection Weight ◽  
Powered Wheelchair ◽  
Network Connection ◽  
Intelligent Wheelchair ◽  
Numerical Studies ◽  
Mobility Aid

We have been studying electrically powered wheelchair operation to make electrically powered wheelchair intelligent and to develop a mobility aid for those who find it difficult or impossible to use conventional electrically powered wheelchairs. Some of the prototypes we have developed use neural networks providing obstacle avoidance. In previous research, we found that by varying neural network connection weight based on obstacles in the wheelchair’s vicinity and its run state, obstacle avoidance is improved. In this research, we discuss the adjustability of neural networks with variant connection weight based on numerical studies.

A Intelligent Wheelchair Obstacle Avoidance System Based on Multi-Sensor Fusion Technology

2010 ◽  
Vol 455 ◽  
pp. 121-126 ◽  
Author(s):  
Yi Zhang ◽  
J. Chen
Keyword(s):  
Data Fusion ◽  
Obstacle Avoidance ◽  
Fuzzy Neural Network ◽  
Sensor Data ◽  
Fusion Technology ◽  
Sensor Data Fusion ◽  
Intelligent Wheelchair ◽  
Multi Sensor Data Fusion ◽  
Fuzzy Neural ◽  
S Model

In this paper an intelligent wheelchair obstacle avoidance system based on multi-sensor data fusion technology is instructed. It giving rises to the hardware architecture of the wheelchair and develops a sonar and camera data acquisition system on the VC++ platform by which we could complete the sonar and camera sensor information collection and data processing. Use a T-S model based fuzzy neural network multi-sensor data fusion method for intelligent wheelchair obstacle avoidance. Some simulations were done to test the method in different environments and the method can effectively integrated the information of sonar and camera, give appropriate control signals to avoid obstacles.

Application of Fuzzy Control Technology in a Sonar-Based Obstacle Avoidance Intelligent Wheelchair

2013 ◽  
Vol 321-324 ◽  
pp. 2004-2008 ◽  
Author(s):  
Ting Su ◽  
Guo Hua Cao ◽  
Ji Hua Hu
Keyword(s):  
Fuzzy Control ◽  
Obstacle Avoidance ◽  
Control Strategy ◽  
Fuzzy Controller ◽  
Control Technology ◽  
Application System ◽  
Intelligent Wheelchair ◽  
System Use ◽  
Measured Distance ◽  
Fuzzy Control Strategy

The paper presents a kind of application system combining fuzzy control technology and ultrasonic obstacle avoidance technology for the intelligent wheelchair (iwheelchair). The system use the ultrasonic measured-distance as the input signal and the output signal is the speed of the iwheelchair to avoid obstacle. The fuzzy controller is designed in Matlab platform and simulated according to the obtained fuzzy control strategy. The fuzzy control technology has been applied successfully in ultrasound obstacle avoidance system for the intelligent wheelchair.

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