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2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)最新文献

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Comparative analysis of two steering modes using a car-like mobile robot 仿车移动机器人两种转向方式的对比分析
Octavio Diaz-Hernández, Samuel Rodriguez-Huitron
Nowadays, the steering system in automotive vehicles still is Ackerman type, which maneuverability is limited, but this dominant system has forced drivers to deal with the maneuverability restrictions that it implies. In this paper is tested and compare two steering modes using a carlike mobile robot. The vehicle was operated by the user through a joystick and two different algorithms were programmed in the vehicle, one is the classic Ackerman steering mode and independent steerability. It was possible to perform the same tests in a workspace for each management mode and then a comparison was made between them. The result of this study allows us to deal with the implementation of a new steering system in cars and / or means of transport to improve the current driving system.
目前,汽车的转向系统仍然是阿克曼式的,其操纵性是有限的,但这种主导系统迫使驾驶员去处理它所隐含的操纵性限制。本文采用一种类似汽车的移动机器人对两种转向方式进行了测试和比较。用户通过操纵杆对车辆进行操作,并在车辆中编程了两种不同的算法,一种是经典的Ackerman转向模式和独立转向模式。可以在工作空间中对每种管理模式执行相同的测试,然后在它们之间进行比较。这项研究的结果使我们能够在汽车和/或交通工具上实施新的转向系统,以改善目前的驾驶系统。
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引用次数: 0
Optical fiber analogy for galactic under extremely low frequency classical electromagnetic wave trapping analysis 极低频下银河光纤类比经典电磁波捕获分析
L. Pantoja, A. Salcedo, F. Blanco, E. Román-Rangel
Ongoing research aims at finding clues that reveal the existence of Under Extremely Low Frequency (UELF) classical electromagnetic waves. Considering their extreme wavelengths, ranging from the actual size of Jupiter up to millions of light years, UELF waves cannot fit within Earth, so the search for them needs to look after much larger regions in space. If UELF waves could interact with cosmic structures (like a galaxy or a planetary system), which dimensions scale with the corresponding wavelengths, then observable geometric patterns should be created and their existence revealed. This paper analyses the feasible trapping of UELF electromagnetic waves within cosmic structures with a disk geometry that has an approximately circular sharp edge. By making a direct analogy with an optical fiber slice, we find characteristic time periods in the order of tens of thousands of years for spiral galaxies like the Milky Way, and in the order of several hours for a solar systems like ours. Actual geometric patterns, like the planetary magnetic field alignment and the recently published 3D Milky Way mapping, support and encourage our research. While our search for clues supporting the existence of UELF waves continues, the present working paper provides novel elements of analysis to advance with it.
正在进行的研究旨在寻找揭示极低频(UELF)经典电磁波存在的线索。考虑到它们的极端波长,从木星的实际大小到数百万光年,UELF波不可能在地球上存在,所以对它们的搜索需要在太空中寻找更大的区域。如果UELF波可以与宇宙结构(如星系或行星系统)相互作用,那么这些结构的维度与相应的波长成比例,那么就应该创造出可观测的几何图案,并揭示它们的存在。本文分析了极低频电磁波在具有近似圆形锐边的圆盘几何结构中的可行捕获。通过与光纤切片进行直接类比,我们发现像银河系这样的螺旋星系的特征周期为数万年,而像我们这样的太阳系的特征周期为几个小时。实际的几何模式,如行星磁场排列和最近发表的3D银河系地图,支持和鼓励我们的研究。当我们继续寻找支持超低频波存在的线索时,目前的工作论文提供了新的分析元素来推进它。
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引用次数: 0
Stair Climbing Robot Based on Convolutional Neural Networks for Visual Impaired 基于卷积神经网络的视障爬楼梯机器人
Guillermo Campos, David Poza, M. Reyes, Alma Zacate, Hiram Ponce, J. Brieva, E. Moya-Albor
When a person loses the sense of sight, in general, it is suggested to use a white cane to perform daily activities. However, using a white cane limits the movement of a person. In addition, guide dogs can be served in this impairment. However, the acquisition and maintenance of a guide dog is extremely high for people in development countries. In this regard, this paper presents a proof-of-concept of a low-cost robotic system able to guide a visual impaired, as a guide dog. The robot is specially designed for climbing stairs at indoors, and it uses convolutional neural networks (CNN) for both object detection and hand gesture recognition for special instructions from the user. Experimental results showed that our prototype robot can climb stairs with 86.7% of efficiency in concrete stair surfaces. Also, the visual representation by CNN performed more than 98% accuracy.
当一个人失去视觉时,一般建议使用白色手杖进行日常活动。然而,使用白色手杖限制了人的活动。此外,导盲犬可以在这种情况下提供服务。然而,对于发展中国家的人们来说,购买和维护导盲犬的费用非常高。在这方面,本文提出了一个低成本的机器人系统的概念验证,能够引导视障人士,作为导盲犬。该机器人是专门为在室内爬楼梯而设计的,它使用卷积神经网络(CNN)进行物体检测和手势识别,以满足用户的特殊指令。实验结果表明,该机器人在混凝土楼梯表面的爬楼梯效率为86.7%。此外,CNN的视觉呈现准确率超过98%。
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引用次数: 3
ICMEAE 2019 Committees
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引用次数: 0
Bio-inspired Optical Flow-based Autonomous Obstacle Avoidance Control 基于仿生光流的自主避障控制
E. Moya-Albor, S. L. Coronel, Hiram Ponce, J. Brieva, Rodrigo Chávez-Domínguez, Alexis E. Guadarrama-Muñoz
In this paper, we propose a new methodology for autonomous obstacle avoidance control using a bio-inspired optical flow estimation. The main difference with other methods is that we use an image model inspired by the human vision system to define the constraints in the optical flow formulation which includes a Hermite transform (HT) and a perceptive mask. We use a physical robot platform to test the control algorithm, where due to the structure of the chassis a forward, reverse and turn movements were defined. The robot has a RBG camera to capture images of the path and then calculate optical flow estimation. To define velocity and direction robot response we propose a fuzzy controller. Finally, we made some experiments to demonstrate the performance of control navigation, and how responds algorithm using HT and a perceptive mask.
本文提出了一种基于仿生光流估计的自主避障控制新方法。与其他方法的主要区别在于,我们使用受人类视觉系统启发的图像模型来定义光流公式中的约束,包括赫米特变换(HT)和感知掩模。我们使用物理机器人平台来测试控制算法,其中由于底盘的结构,定义了向前,反向和转弯运动。机器人有一个RBG相机捕捉路径图像,然后计算光流估计。为了定义机器人的速度和方向响应,我们提出了一个模糊控制器。最后,我们做了一些实验来验证控制导航的性能,以及使用HT和感知掩模的响应算法。
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引用次数: 3
ICMEAE 2019 TOC
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引用次数: 0
期刊
2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)
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