Passive Infrared Thermographic Imaging for Mobile Robot Object Identification

William L. Fehlman II; Mark K. Hinders

首页> 外文期刊>Journal of robotic systems >Passive Infrared Thermographic Imaging for Mobile Robot Object Identification

【24h】

Passive Infrared Thermographic Imaging for Mobile Robot Object Identification

机译：用于移动机器人目标识别的被动红外热像成像

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

The usefulness of thermal infrared imaging as a mobile robot sensing modality is explored, and a set of thermal-physical features used to characterize passive thermal objects in outdoor environments is described. Objects that extend laterally beyond the thermal camera's field of view, such as brick walls, hedges, picket fences, and wood walls, as well as compact objects that are laterally within the thermal camera's field of view, such as metal poles and tree trunks, are considered. Classification of passive thermal objects is a subtle process because they are not a source for their own emission of thermal energy. A detailed analysis is included of the acquisition and preprocessing of thermal images, as well as the generation and selection of thermal-physical features from these objects within thermal images. Classification performance using these features is discussed, as a precursor to the design of a physics-based model to automatically classify these objects.

机译：探究了热红外成像作为移动机器人感知模态的有用性，并描述了用于表征室外环境中被动热物体的一组热物理特征。横向超出热像仪视野的对象，例如砖墙，树篱，栅栏和木墙，以及横向热像仪视野内的紧凑对象，例如金属杆和树干，被考虑。被动热物体的分类是一个微妙的过程，因为它们不是自身产生热能的来源。详细的分析包括对热图像的获取和预处理，以及从热图像中的这些对象生成和选择热物理特征的信息。讨论了使用这些功能进行分类的性能，以此作为基于物理学的模型设计的基础，以自动对这些对象进行分类。

著录项

来源
《Journal of robotic systems》 |2010年第3期|p.281-310|共30页
作者
William L. Fehlman II; Mark K. Hinders;
展开▼
作者单位

Department of Mathematical Sciences, U.S. Military Academy, West Point, New York 10996;

NDE Lab, The College of William & Mary in Virginia, 116 Jamestown Road, Williamsburg, Virginia 23187-8795;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词

相似文献

外文文献
中文文献
专利

1. Real-time image processing algorithms for object and distances identification in mobile robot trajectory planning [J] . C. Ilas, M. Ilas, S. Paturca Journal of Control Engineering and Applied Informatics . 2011,第2期

机译：移动机器人轨迹规划中目标和距离识别的实时图像处理算法
2. On Tracking Dynamic Objects with Long Range Passive UHF RFID Using a Mobile Robot [J] . RanLiu, GoranHuski?, AndreasZell International Journal of Distributed Sensor Networks . 2015,第3期

机译：使用移动机器人通过远程无源UHF RFID跟踪动态对象
3. On Tracking Dynamic Objects with Long Range Passive UHF RFID Using a Mobile Robot [J] . RanLiu, GoranHuski?, AndreasZell International Journal of Distributed Sensor Networks . 2015,第1期

机译：使用移动机器人通过远程无源UHF RFID跟踪动态对象
4. Enhancement of infrared-based image identification system for security robots by image decomposition [C] . Abas Khairul Hamimah, Osamu Ono, Ibrahim Zuwairie International Conference on Autonomous Robots and Agents . 2009

机译：通过图像分解来增强基于红外图像识别系统的安全机器人
5. Object identification in mobile robotic applications through dialogue and sensing [D] . Pateras, Claudia 1995

机译：通过对话和感应在移动机器人应用中进行对象识别
6. The effect of perineural anesthesia on infrared thermographic images of the forelimb digits of normal horses [O] . Layne C. Holmes, Earl M. Gaughan, Denise A. Gorondy, 2003

机译：神经麻醉对正常马前肢手指红外热像图的影响
7. Development of a Bio-inspired Vision System for Mobile Micro-robots:In this paper, we present a new bio-inspired vision system for mobile micro-robots. The processing method takes inspiration from vision of locusts in detecting the fast approaching objects. Research suggested that locusts use wide-field visual neuron called the lobula giant movement detector to respond to imminent collisions. We employed the locusts' vision mechanism to motion control of a mobile robot. The selected image processing method is implemented on a developed extension module using a low-cost and fast ARM processor. The vision module is placed on top of a micro-robot to control its trajectory and to avoid obstacles. The observed results from several performed experiments demonstrated that the developed extension module and the inspired vision system are feasible to employ as a vision module for obstacle avoidance and motion control. [O] . Hu, Cheng, Arvin, Farshad, Yue, Shigang 2014

机译：开发用于移动微型机器人的生物启发视觉系统：在本文中，我们提出了一种用于移动微型机器人的新型生物启发视觉系统。该处理方法从检测快速接近物体的蝗虫视觉中获取灵感。研究表明，蝗虫使用称为小叶巨型运动探测器的宽视野神经元来应对即将发生的碰撞。我们采用蝗虫的视觉机制来控制移动机器人。所选择的图像处理方法使用低成本且快速的aRm处理器在开发的扩展模块上实现。视觉模块放置在微型机器人的顶部以控制其轨迹并避开障碍物。几次进行的实验观察到的结果表明，开发的扩展模块和灵感视觉系统可用作避障和运动控制的视觉模块。

Passive Infrared Thermographic Imaging for Mobile Robot Object Identification

摘要

著录项

相似文献

相关主题

期刊订阅