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Real-time tripwire detection on a robotic testbed

机译:机器人试验用实时跳闸检测

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摘要

Detection of tripwires is an active area of investigation. Researchers at the University of Missouri and the University of Florida are jointly pursuing numerous approaches to detect both the trip wires and the mines to which they are connected. Utilization of robotic vehicles capable of performing this task is one of the goals of this project. In this paper, we discuss issues related to the embedding of current versions of our tripwire detection algorithms into a small and inexpensive robot testbed for real-time experimentation. The robot is based a simple remote-controlled truck where the remote control unit has been replaced by a standard microcontroller. Sensors are added to assist navigation tasks, handled by the microcontroller, and the tripwire detection algorithms are implemented on a laptop PC with video input. There are several sophisticated algorithms that are being investigated for robust tripwire detection. The current detection algorithm that has been pruned down to run in real-time on the robotic platform consists of a Hough transform to find candidate lines followed by post-processing to score the candidate lines for the likelihood that they correspond to a trip wire. Upon detection, the robot is given a command to stop. Results of several experiments both indoors and outside in a variety of settings are described and analyzed.
机译:徒步的检测是一个有效的调查领域。密苏里大学和佛罗里达大学的研究人员共同追求了众多方法来检测跳闸线和它们所连接的矿山。能够执行此任务的机器人车辆的利用是该项目的目标之一。在本文中,我们讨论了与将当前版本的跳转检测算法嵌入到一个实时实验的小而廉价的机器人中的问题。机器人基于简单的遥控卡车,其中遥控单元已被标准的微控制器代替。添加传感器以辅助由微控制器处理的导航任务,并且跳闸检测算法在具有视频输入的笔记本电脑上实现。有几种复杂的算法被调查用于强大的旅行检测。已经在机器人平台上实时修剪的当前检测算法包括霍夫变换,以找到候选线,然后进行后处理以获得它们对应于跳线的可能性的候选线。在检测时,机器人被赋予停止命令。描述和分析了各种设置中的几个实验的结果。

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