Design and realization of a novel obstacle avoidance algorithm for intelligent wheelchair bed using ultrasonic sensors

2017 ◽  
Author(s):  
Chentao Diao ◽  
Songmin Jia ◽  
Guoliang Zhang ◽  
Yanjun Sun ◽  
Xiangyin Zhang ◽  
...  
Keyword(s):  
Obstacle Avoidance ◽  
Ultrasonic Sensors ◽  
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

Design of Obstacle Avoidance Detection Based on Substation Intelligent Inspection Robot

2013 ◽  
Vol 748 ◽  
pp. 695-698
Author(s):  
Hai Peng Wang ◽  
Yong Sun ◽  
Peng Xiao ◽  
Yi Qing Luan
Keyword(s):  
Real Time ◽  
Obstacle Avoidance ◽  
Detection System ◽  
Measurement Precision ◽  
Ultrasonic Signal ◽  
System Software ◽  
Ultrasonic Sensors ◽  
Inspection Robot ◽  
High Measurement ◽  
Environmental Requirements

The obstacle avoidance system is an important part of the intelligent inspection robot. According to the special environmental requirements for substation inspection robot, the inspection robot obstacle avoidance detection system was designed. The system takes MCU as the controller core, selects many sets of ultrasonic sensors to detect the obstacle information around the robot, designs the transmitting and receiving circuit of the ultrasonic signal, and completes the system software program. In consideration of the substations effect of EMI to the electronic equipments, when designing circuit, using a large of filter circuit, improve systems anti-interference performance, realize real-time and veracity of measurement. Using on substation shows that the system run steadily, have high measurement precision, its important for improving the robot using on substation.

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.

scholarly journals Obstacle Avoidance System for Unmanned Ground Vehicles by Using Ultrasonic Sensors

Machines ◽  
2018 ◽  
Vol 6 (2) ◽  
pp. 18 ◽  
Author(s):  
Marco De Simone ◽  
Zandra Rivera ◽  
Domenico Guida
Keyword(s):  
Obstacle Avoidance ◽  
Unmanned Ground Vehicles ◽  
Ground Vehicles ◽  
Ultrasonic Sensors

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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