计算机科学 ›› 2015, Vol. 42 ›› Issue (12): 98-101.

• 第十三届全国软件与应用学术会议 • 上一篇    下一篇

小车远程控制及自主寻路系统的设计与实现

李晓帆,许畅   

  1. 南京大学计算机软件新技术国家重点实验室 南京210023南京大学计算机科学与技术系 南京210023,南京大学计算机软件新技术国家重点实验室 南京210023南京大学计算机科学与技术系 南京210023
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家重点基础研究发展计划(973)(2015CB352202),国家自然科学基金(61472174,1,61321491,7)资助

Design and Implementation of Vehicle Remote Control and Independent Way-finding System

LI Xiao-fan and XU Chang   

  • Online:2018-11-14 Published:2018-11-14

摘要: 智能机器人可通过传感器获取周围的地形、温度等信息,并加以分析处理而采取对应策略。然而,机器人可能由于本身不具备定位功能而只能进行简单控制,也可能因为障碍物信息采样不足而导致避障算法失败。面对这一类问题,设计并实现了一套能对智能车进行远程控制并令其自主寻路的系统。该系统通过高效的图像处理与识别对智能车自动定位;对现有避障算法进行了改进,并建立了避让策略来保证智能车总能找到一条抵达目标的安全路径。实验结果表明,该系统定位精度较高,控制与寻路功能具有一定的可靠性与实用性。

关键词: 远程控制,自主寻路,安卓平台

Abstract: Intelligent robots obtain environment information such as terrain and temperature with sensors,and then analyze and process such information to take appropriate countermeasures.However,if a robot cannot locate itself in the environment,its user can only perform simple control,and its obstacle avoidance algorithm may fail due to under-sampling of obstacle information.To address these problems,this paper proposed a system that can perform remote control and independent way-finding on smart-car robots.The system can automatically locate a smart-car robot through efficient image processing and recognition.It improves over existing algorithms and builds a collision avoidance strategy to ensure that the robot can always find a safe path to its destination.Our experimental results show that the system has high locating accuracy,and its remote control and way-finding functions are reliable and useful.

Key words: Remote control,Independent way-finding,Android platform

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