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基于Arduino的双模式智能避障小车系统设计与实现

赵云娥 吴振强

现代电子技术2017,Vol.40Issue(21):94-97,4.
现代电子技术2017,Vol.40Issue(21):94-97,4.DOI:10.16652/j.issn.1004-373x.2017.21.026

基于Arduino的双模式智能避障小车系统设计与实现

Design and implementation of Arduino-based two-mode intelligent obstacle avoidance system for car

赵云娥 1吴振强2

作者信息

  • 1. 陕西师范大学 计算机科学学院,陕西 西安 710119
  • 2. 青海建筑职业技术学院,青海 西宁 810012
  • 折叠

摘要

Abstract

Since the available intelligent obstacle avoidance system for car has low range measurement accuracy for obstacle and exists the detection blind area,an intelligent obstacle avoidance system based on Arduino is introduced. The commonly-used ultrasonic obstacle avoidance module has far detection distance and is hard to be disturbed,but has long reaction time. The infrared range-finding module has short detection distance,fast measuring speed and high measuring precision,but is affected by the environment greatly. The Arduino is taken as the main control system of the obstacle avoidance system. The acquisition system including ultrasonic rang-finding module,infrared rang-finding module and multi sensors is used to realize the information fusion and advantage complemention. The data is opitimized with the algorithm to improve the environment sensing accuracy and obstacle avoidance success rate of the car effectively. By using the Bluetooth serial communication APK based on the open source platform Android,the smart car can realize the automatic obstacle avoidance,and accept the help of human for artificial obstacle avoidance,which can implement the manual and automatic dual-operation mode and enrich the users′ experience. The experimental results show that the system is running stably,can detect the obstacles accurately,and realize the omnibearing obstacle avoidance effectively.

关键词

Arduino/智能避障/测距传感器/Android

Key words

Arduino/intelligent obstacle avoidance/range-finding sensor/Android

分类

信息技术与安全科学

引用本文复制引用

赵云娥,吴振强..基于Arduino的双模式智能避障小车系统设计与实现[J].现代电子技术,2017,40(21):94-97,4.

基金项目

中央高校基本科研业务费专项资金项目资助(GK201501008) (GK201501008)

现代电子技术

OA北大核心CSTPCD

1004-373X

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