Ultrasonic sensor configuration for mobile robot navigation systems to assist visually impaired person

Ultrasonic sensor is one of the electronic components used in designing a mobile robot navigation system to assist visually impaired person. However, no guideline or algorithm has been established so far to ease the selection and determination of optimum number of ultrasonic sensors to be used and t...

全面介紹

Saved in:
書目詳細資料
主要作者: Wan Alwi, Syed Rizal Alfam
格式: Thesis
語言:English
出版: 2017
主題:
在線閱讀:http://eprints.utm.my/id/eprint/98306/1/SyedRizalAlfamMSKE2017.pdf
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
實物特徵
總結:Ultrasonic sensor is one of the electronic components used in designing a mobile robot navigation system to assist visually impaired person. However, no guideline or algorithm has been established so far to ease the selection and determination of optimum number of ultrasonic sensors to be used and the layout for the sensors. The purpose of this study is to obtain an algorithm that can be used as a guideline for selecting appropriate ultrasonic component model. The algorithm is used for determining the optimum numbers and optimum layout for ultrasonic sensors of interest when used for a mobile robot navigation system for a 180° obstacle detection using theoretical calculations. All theoretical values obtained are compared with real-time data using an actual ultrasonic sensor placed on experimental platform. This set up is used with different numbers and placements using the selected ultrasonic sensor, HC–SR04 and is compared with the theoretical values for validation. Then, relevant equations are used to calculate the number of sensors and layout used for another ultrasonic sensor, MA40B8 to show the correctness of the equations used in this study. The MA40B8 ultrasonic sensor was originally used for a 360° obstacle detection system. It is proven that the equations used in this study are valid theoretically and experimentally. The algorithm can also be used to decide the optimum numbers and optimum layout for ultrasonic sensors for a 180° obstacle detection.