基于Arduino多传感器的智能小车避障系统设计
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摘要
本文主要针对智能小车存在的对松软界面难以检测和受环境影响大等缺点,提出并设计了一种超声波与红外避障传感器相结合的避障系统,可以实现全方位的自动避障。系统以Arduino为主控单元,通过多个传感器数据的采集,经由计算机算法控制,系统硬件的各个模块相互配合,可使系统具有较高的自适应能力。实验结果表明,设计的超声波与红外避障传感器相结合的避障系统可有效的实现避障。
In this paper,aiming at the disadvantages of the intelligent vehicle,such as the difficulty in detecting soft interface and the great impact of environment,an obstacle avoidance system combining ultrasonic and infrared obstacle avoidance sensor is proposed and designed,which can realize omni-directional automatic obstacle avoidance. The system takes Arduino as the main control unit,through the acquisition of multiple sensor data and the computer algorithm control,the system hardware modules cooperate with each other,which can make the system have higher adaptive ability. The experimental results show that the design of ultrasonic and infrared obstacle avoidance sensor combined obstacle avoidance system can effectively achieve obstacle avoidance.
In this paper,aiming at the disadvantages of the intelligent vehicle,such as the difficulty in detecting soft interface and the great impact of environment,an obstacle avoidance system combining ultrasonic and infrared obstacle avoidance sensor is proposed and designed,which can realize omni-directional automatic obstacle avoidance. The system takes Arduino as the main control unit,through the acquisition of multiple sensor data and the computer algorithm control,the system hardware modules cooperate with each other,which can make the system have higher adaptive ability. The experimental results show that the design of ultrasonic and infrared obstacle avoidance sensor combined obstacle avoidance system can effectively achieve obstacle avoidance.
引文
[1]赵勇.基于Arduino和Android平台的智能小车避障系统设计研究[D].长安大学硕士学位论文,2014.
[2]Michael Mc Roberts. Arduino从基础到实践[M].杨继志,郭敬译.北京:电子工业出版社,2013:92~146.
[3]孙圣和.现代传感器发展方向[J].电子测量与仪器学报,2009,23(1):1~10.
[4]冯华勇.基于智能小车的模糊寻迹控制[J].制造业自动化,2010,32(10).
[5]黄鹏勇.基于ARM的智能避障小车设计[J].电子技术,2014,(11).
[6]戴曰章.基于AT89C51单片机的超声波测距系统设计[J].计量与测试技术,2005,32(2):17~19.
[7]杨莹.国内外机器人研究领域的知识计量[D].大连:大连理工大学管理科学与工程学院,2009:24~41.
[8]郭劲松,曹江涛,李欣,等.基于多传感器信息融合的避障循迹机器人设计[J].智能计算机与应用,2011,01(4):69~72.
[9]曾一民.基于超声波的机器人避障和目标跟踪方法的研究[D].电子科技大学,2008.
[10]贾莉娜.高精度的超声波测距系统在移动机器人导航方面的应用[J].计量与测试技术,2004,(9):23~26.
[11]刘俊畅,芦利斌,谭力宁.基于Arduino的自动避障技术实现[J].信息技术,2014,12:170~172.
[12]卞云松.基于Arduino单片机的避障小车机器人[J].自动化技术与应用,2014,(1).
[2]Michael Mc Roberts. Arduino从基础到实践[M].杨继志,郭敬译.北京:电子工业出版社,2013:92~146.
[3]孙圣和.现代传感器发展方向[J].电子测量与仪器学报,2009,23(1):1~10.
[4]冯华勇.基于智能小车的模糊寻迹控制[J].制造业自动化,2010,32(10).
[5]黄鹏勇.基于ARM的智能避障小车设计[J].电子技术,2014,(11).
[6]戴曰章.基于AT89C51单片机的超声波测距系统设计[J].计量与测试技术,2005,32(2):17~19.
[7]杨莹.国内外机器人研究领域的知识计量[D].大连:大连理工大学管理科学与工程学院,2009:24~41.
[8]郭劲松,曹江涛,李欣,等.基于多传感器信息融合的避障循迹机器人设计[J].智能计算机与应用,2011,01(4):69~72.
[9]曾一民.基于超声波的机器人避障和目标跟踪方法的研究[D].电子科技大学,2008.
[10]贾莉娜.高精度的超声波测距系统在移动机器人导航方面的应用[J].计量与测试技术,2004,(9):23~26.
[11]刘俊畅,芦利斌,谭力宁.基于Arduino的自动避障技术实现[J].信息技术,2014,12:170~172.
[12]卞云松.基于Arduino单片机的避障小车机器人[J].自动化技术与应用,2014,(1).