计算机与现代化 ›› 2010, Vol. 1 ›› Issue (10): 201-204.doi: 10.3969/j.issn.1006-2475.2010.10.056

• 应用与开发 • 上一篇    下一篇

缩小避障机器人障碍物检测盲区的研究

杨启东1,2   

  1. 1.江苏科技大学计算机科学与工程学院,江苏 镇江 212003;2.苏州高博软件技术职业学院软件工程系,江苏 苏州 215163
  • 收稿日期:2010-06-23 修回日期:1900-01-01 出版日期:2010-10-21 发布日期:2010-10-21

Research on Alleviating Obstacle-detecting Blind Zone of Obstacle-avoiding Robot

YANG Qi-dong1,2   

  1. 1. School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China;2. Department of Software Engineering, Global Institute of Computer Technology, Suzhou 215163, China
  • Received:2010-06-23 Revised:1900-01-01 Online:2010-10-21 Published:2010-10-21

摘要: 为提高避障过程中障碍物的被检测率,避免碰撞,在多传感器信息融合技术基础上,探讨多传感器排列方式和检测盲区的关系,定义绝对盲区和相对盲区的概念。把传感器排列方式分成发散型、交叉型和混合型,分别讨论各种排列方式的优缺点。实验机器人使用混合型排列,把多个传感器检测结果融合成定位标志决定避障算法,上位机根据定位标志提示障碍物所在位置。实验结果表明这种方法对缩小障碍物检测盲区是有效的。

关键词: 避障, 信息融合, 检测盲区, 排列方式

Abstract: In order to enhance the obstacle-detecting rate, prevent from collision in the process of obstacle avoidance, the relationship between sensor-distributing manner and obstacle-locating blind zone is discussed based on the technology of multi-sensor data fusion. The conception of absolute blind zone and relative blind zone is defined. Sensor distributing manners are classified into three types: dispersing, intercrossing and mixing. The merits and demerits of each type are mentioned respectively. Several sensors are arranged in mixing manner on the target robot. The detecting results of multi sensors are combined to form a flag which determines the branch of the algorithm. The flag also makes the obstacle location available on the upper computer. The results of the experiment indicate that it is effective to reduce the obstacle-locating blind zone.

Key words: obstacle avoidance, data fusion, detecting blind zone, distributing manner

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