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计算机系统应用:2018,27(8):241-246
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基于ARM和嵌入式Linux的智能小车技术实践
林粤伟1, 牟森1, 姜海君1,2
(1.青岛科技大学 信息科学技术学院, 青岛 266061;2.北京邮电大学 电子工程学院, 北京 100876)
Engineering Practice of Smart Mini Car Based on ARM and Embedded Linux
LIN Yue-Wei1, MU Sen1, JIANG Hai-Jun1,2
(1.College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao 266061, China;2.School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China)
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投稿时间:2017-09-17    修订日期:2017-09-30
中文摘要: 论述基于ARM和嵌入式Linux的WiFi无线遥控智能小车的技术实践.介绍技术实践的过程、方法、经验体会.采用ARM 11芯片作为小车的主控制器.小车上的WiFi模块承担无线通信功能并接收来自远程Android智能手机的遥控指令.智能手机可通过“重力感应”或传统“按键”两种模式向小车发送遥控指令.ARM控制器接收到指令后通过GPIO接口控制小车的电机驱动小车的四个轮子做出相应动作(前进、后退、转弯、旋转等),并通过PID算法控制小车走直线.小车可采集视频并运行计算机视觉算法进行实时人脸检测.
Abstract:The engineering practice of mini smart car with WiFi wireless remote control function based on ARM and embedded Linux is discussed. The process, method, and experience of engineering practice are introduced. The ARM11 chip is selected as the central control CPU. The WiFi wireless communication module on smart car is used to communicate with remote Android smart phone to receive controlling commands. Controlling commands are sent by the smart phone through the novel ‘gravity sensing’ or traditional ‘key pressing’ mode. Once the commands are received by the ARM chip, it will control the motors via GPIO and drive four wheels to make according actions (moving forward/backward, turning and rotating), and force the car to move in a straight line via PID algorithm. The video data can be collected by camera and the real-time human faces detection is implemented by computer vision algorithms.
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基金项目:青岛科技大学大学生创新创业训练计划项目(201710426023);青岛科技大学博士科研基金项目(210-010022614)
引用文本:
林粤伟,牟森,姜海君.基于ARM和嵌入式Linux的智能小车技术实践.计算机系统应用,2018,27(8):241-246
LIN Yue-Wei,MU Sen,JIANG Hai-Jun.Engineering Practice of Smart Mini Car Based on ARM and Embedded Linux.COMPUTER SYSTEMS APPLICATIONS,2018,27(8):241-246

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