Description: 该文件是一个网友给我的一个基于Intel_OpenCV的弹跳机器人视觉系统的实现程序，程序可以实现读入视频并对视频文件进行了很好的处理。对于进行opencv计算机视觉开发的朋友有很高的参考价值。-the document is a website to be one of my Intel_OpenCV on the bouncing robot vision system the EC procedures, procedures can be achieved as well as video read video files handled well. OpenCV for computer vision for the development of a friend of a high reference value. Platform: |
Size: 83246 |
Author:刘波 |
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Description: 该文件是一个网友给我的一个基于Intel_OpenCV的弹跳机器人视觉系统的实现程序，程序可以实现读入视频并对视频文件进行了很好的处理。对于进行opencv计算机视觉开发的朋友有很高的参考价值。-the document is a website to be one of my Intel_OpenCV on the bouncing robot vision system the EC procedures, procedures can be achieved as well as video read video files handled well. OpenCV for computer vision for the development of a friend of a high reference value. Platform: |
Size: 82944 |
Author:刘波 |
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Description: 机器人足球视觉系统精度提高算法，里面有详细的说明及源代码，供大家借鉴！-Robot soccer vision system improve the accuracy of algorithm, which has detailed instructions and source code for the U.S. learn from! Platform: |
Size: 1525760 |
Author:小马哥 |
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Description: 全方位视觉系统在机器人中的应用，这里提供了如何使用全方位视觉为机器人提供帮助-Omnidirectional vision system in robot application, this provides a vision for how to use the omni-directional robot help Platform: |
Size: 290816 |
Author:xmx |
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Description: Mapping Large Loops with a Single
Hand-Held Camera
该论文为Andrew J.Davison机器人视觉团队的一篇研究成果论文。详细阐述了在他们的系统下，用手持单个摄像头对环形大环境下的定位和构建地图问题。-Mapping Large Loops with a Single Hand-Held Camera Andrew J. Davison in the paper for the team, a robot vision research paper. Described in detail in their system, using hand-held single camera on the ring under a large map of the location and construction problems. Platform: |
Size: 2552832 |
Author:李胜辉 |
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Description: ：实时、准确的提取道路信息和控制机器人的运动状态是机器人视觉导航系统的关键，
针对这两点提出了一套基于ARM 处理器的解决方案和控制算法，并着重研究了坐标几何校
正算法和最小曲率半径算法．实践结果表明，该套算法简便有效、实时性好、可靠性高，适用于
简易机器人的视觉导航．-Extracting road information real—time，accurately and controlling the motion of robot are two
key technologies of the mobile robot vision navigation system．This paper proposes a kind of sol utions
based on ARM and control algorithms for these two parts．And focus on the coordinate geometry correc—
tion algorithm and the minimum radius—of-curvature algorithm．The results show that the algorithm is
simple and effective，real—time and high reliability，so it applies to the simple visual navigation of the ro—
bot． Platform: |
Size: 340992 |
Author:王乐 |
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Description: 本文成功的开发了足球机器人视觉识别系统,首先应用基于LVQ神经网络的颜色识别算法进行指定颜色属性的物体的识别,接着提出小球和机器人小车的识别算法,应用训练收敛后的神经网络进行摄像机隐式标定。-In this paper, the successful development of soccer robot vision recognition system, first applied to identify the properties of the specified color based on the color of objects LVQ neural network recognition algorithm, and then made a small ball and robot car recognition algorithm, the application of neural network training convergence for camera Implicit calibration. Platform: |
Size: 9646080 |
Author:yujie |
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Description: DMC-9263-E采用基于ARM926EJ-S内核的ATMEL处理器AT91SAM9263, 运行频率200MHz。板载64MB的SDRAM，64MB的Nand Flash，2MB的Data Flash。DMC-9263-E嵌入式开发系统外设非常丰富，功能强大，可扩展性强，低功耗。适用于纺织行业、数控行业、汽车电子、工业触摸屏控制系统、机器人视觉、媒体处理无线应用、数字家电、车载设备、通信设备、网络终端等场合。支持嵌入式Linux和WINCE5.0操作系统。
采用Linux2.6.20内核，LINUX驱动支持：AUDIO、VGA、USB HOST、以太网、CAN、LCD 和触摸屏、IDE、SD卡、CF卡、串口等，支持QT。
WINCE5.0测试程序：蜂鸣器、GPIO、KEY、RS232等,并提供WINCE完整的镜像文件
-DMC-9263-E using the ARM926EJ-S core ATMEL processor based on AT91SAM9263, the operating frequency of 200MHz. On board 64MB SDRAM, 64MB Nand Flash, 2MB Data Flash. The DMC-9263-E embedded development system peripherals is very rich, powerful, extensible, low power. Is suitable for the textile industry, the CNC industry, automotive electronics, industrial touch screen control system, robot vision, media processing wireless application, digital home appliances, vehicle equipment, communication equipment, network terminal and other occasions. Support Linux and embedded WINCE5.0 operating system. Platform: |
Size: 29696 |
Author:龙芯 |
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Description: 一篇关于光流传感器的论文，光流传感器广泛应用于微型西轴飞行器的室内定位-Robust velocity and position estimation at high
update rates is crucial for mobile robot navigation. In recent
years optical flow sensors based on computer mouse hardware
chips have been shown to perform well on micro air vehicles.
Since they require more light than present in typical indoor
and outdoor low-light conditions, their practical use is limited.
We present an open source and open hardware design 1 of an
optical flow sensor based on a machine vision CMOS image
sensor for indoor and outdoor applications with very high light
sensitivity. Optical flow is estimated on an ARM Cortex M4
microcontroller in real-time at 250 Hz update rate. Angular
rate compensation with a gyroscope and distance scaling using
a ultrasonic sensor are performed onboard. The system is
designed for further extension and adaption and shown in-flight
on a micro air vehicle. Platform: |
Size: 1458176 |
Author:丁杰峰 |
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Search - vision system for robot