一种道路标线检测新方法

道路标线为驾驶员提供车辆的位置信息。首先以麦克斯韦颜色三角为模型分割图像中的白色和黄色区域,采用双阈值分割增加后期处理精度,同时去除不属于标线的大面积区域和噪点,然后计算图像的位置与方向判定其是否为道路标线。实验表明该方法能有效检测道路标线,更好地处理图像边缘。     

A collision detection method for multicast transmissions in CSMA/CA networks

Compared to unicast traffic, multicast is not protected by any ARQ mechanism in 802.11 networks: collisions with other multicast and unicast transmissions are not detected and senders will not adapt to the contention situation by backing off. This results in an unreliable service for multicast transmissions. We propose early multicast collision detection (EMCD), an algorithm with the purpose of increasing the reliability of multicast transmissions in the MAC layer of an IEEE 802.11 network. A multicast sender using it will introduce an early pause in a transmission, perform a clear channel assessment (CCA), and if a collision is detected abort the transmission after a fixed time and schedule a retransmission. This allows for detecting collisions with both multicast and unicast transmissions but also adapting to the contention situation. A probabilistic analysis is provided showing that EMCD is more efficient than ordinary multicast and can be made even more efficient by tuning parameters. Simulations show that EMCD leads to increased reliability for multicast transmissions. Copyright © 2006 John Wiley & Sons, Ltd.     

A new peak detection method for the three-phase sinusoidal signals

An instantaneous amplitude detection method for the three-phase sinusoidal signals is proposed. The proposed method can measure the amplitude of the three-phase signals without any delay by using only two of the three-phase signals. The performance of this method under the ideal and nonideal conditions is analyzed. To demonstrate the performance of the proposed method, an electronic circuit for implementing this method is developed and tested     

一种面向虚拟维修的快速碰撞检测方法

针对虚拟维修中碰撞检测的自身特点,提出一种基于空间均匀网格的层次包围盒算法,该算法首先使用空间划分剔除不必要检测的物体,再通过层次包围盒法准确地找出相交的物体。文中给出了层次包围树的构建方法、空间划分方法,并且采用哈希数据结构和同步深度遍历方法加速了检测的速度。最后在CATIA/CAA平台上实现了该算法,验证了算法的实时性能。     

一种新型的城市火灾检测方法

在图像型火灾检测方法中,火灾特征的选取有一定的随机性和复杂性,仅仅依靠低层次的图像特征难以完整地描述复杂背景下的火灾图像。将深度学习技术应用到火灾检测领域,提出基于卷积神经网络的火灾检测方法,搭建包含3层全连接层的网络模型,使用Relu函数作为激活函数;然后基于Tensorflow平台实现该网络结构模型。在公开的火灾数据库上进行实验,结果表明,所提方法的火灾检测效果优于传统的图像型火灾检测算法,避免了由于选取特定火灾特征进行检测识别带来的局限性。     

A robust collision prediction and detection method based on neural network for autonomous delivery robots

For safe last-mile autonomous robot delivery services in complex environments, rapid and accurate collision prediction and detection is vital. This study proposes a suitable neural network model that relies on multiple navigation sensors. A light detection and ranging technique is used to measure the relative distances to potential collision obstacles along the robot's path of motion, and an accelerometer is used to detect impacts. The proposed method tightly couples relative distance and acceleration time-series data in a complementary fashion to minimize errors. A long short-term memory, fully connected layer, and SoftMax function are integrated to train and classify the rapidly changing collision countermeasure state during robot motion. Simulation results show that the proposed method effectively performs collision prediction and detection for various obstacles.     

A new method for detection of P waves in electrocardiograms

A new procedure for searching the P wave in the corrected orthogonal electrocardiogram (VCG) was developed on the basis of VCG representation in spherical coordinates. The time course of the angle azimuth shows a well defined configuration P_? which is suitable for searching the P wave. At least normal VCGs regularly show the P_? configuration even if P waves are not visible in any of the related amplitude curves.The validity of P_? for the P wave recognition is discussed by electrophysiological considerations, and it was tested by comparison of the time course of P_? with that of well visible P waves in the magnitude curve of the very same VCG. Superposition with disturbance vectors yielded that P_? is more stable against distortions than the P wave in the magnitude curve.A digital algorithm was examined by comparison with data obtained by visual evaluation and with the output data of a common computer program for the very same VCGs. Additionally, the P wave duration and the azimuth of the atrial repolarization vector were compared with related data taken from literature. The results show that P wave recognition by using the P_? configuration is a valid and reliable method.     

一种新的跳频信号检测方法

本文针对跳频信号检测的问题,研究并设计了一种新的检测算法.该方法对信道进行由"粗"到"细"的分层检测,降低了很多无谓的资源消耗.文章首先介绍了传统信道化处理的思想并推导出其模型的数学表达式.然后分析了这种模型在跳频信道数较多时难于实现的原因,进而提出分层信道化处理的检测模型.接下来对该模型的运算量进行了推导并与传统结构...     

A biologically inspired analog IC for visual collision detection

We have designed and tested a single-chip analog VLSI sensor that detects imminent collisions by measuring radially expanding optic flow. The design of the chip is based on a model proposed to explain leg-extension behavior in flies during landing approaches. We evaluated a detailed version of this model in simulation using a library of 50 test movies taken through a fisheye lens. The algorithm was evaluated on its ability to distinguish movies ending in collisions from movies in which no collision occurred. This biologically inspired algorithm is capable of 94% correct performance in this task using an ultra-low-resolution (132-pixel) image as input. A new elementary motion detector (EMD) circuit was developed to measure optic flow on a CMOS focal-plane sensor. This EMD circuit models the bandpass nature of large monopolar cells (LMCs) immediately postsynaptic to photoreceptors in the fly visual system as well as a saturating multiplication operation proposed for Reichart-type motion detectors. A 16/spl times/16 array of two-dimensional motion detectors was fabricated in a standard 0.5-/spl mu/m CMOS process. The chip consumes 140 /spl mu/W of power from a 5 V supply. With the addition of wide-angle optics, the sensor is able to detect collisions 100-400 ms before impact in complex, real-world scenes.     

碰撞等离子体的高阶FDTD算法

给出了电磁波在均匀、碰撞等离子体中传播的四阶时间和四阶空间FDTD算法.该算法比Yee氏FDTD算法每一个网格每一维增加一个存储单元,与常规的二阶等离子体FDTD算法相同.由于采用四阶时间和四阶空间近似,因此该算法能有效地减小数字色散误差,其频带宽度比二阶算法的频带宽度更宽.为了验证该高阶算法的正确性,对均匀、碰撞等离子体平板的电磁波反射系数进行了计算,并与解析结果、二阶FDTD计算结果进行了比较,证明了该算法的高效和精确.     

一种适用于机械扫描天线的机载慢速运动目标检测新方法

该文详细分析了一种可用于机械扫描天线的机载慢速运动目标检测新方法。与传统的DPCA技术比较,这种方法在实际工程条件下更容易实现、性能更好。最后给出了仿真结果。     

一种新的三帧差运动气泡检测方法

针对传统三帧差法在运动目标检测过程中存在部分 重叠和轮廓不完整现象,提出了一种结合 Kirsch边缘检测和背景差分的改进三帧差法。算法首先对连续3帧图像进行差分得到运动区 域,然后对 当前帧进行Kirsch边缘检测,通过已得到的运动区域与边缘检测结果进行逻辑“或”运算, 获得完整的运动 目标,利用背景帧差分割运动目标并去除噪声。实验表明,提出的方法能够提取更加完整的 目标区域,有 效避免漏检、误检等情况。与现有一些同类算法相比,本文算法具有更优越的运动目标检测 性能。     

A new Copy-Move forgery detection method using LIOP

The most prevalent type of digital image falsification occurs when a portion of a image is copied and pasted onto another section of the same image. Falsification of the image made in this way is called copy-move forgery (CMF). This study presents a new and effective approach for copy-move forgery detection (CMFD) using the Local Intensity Order Pattern (LIOP) to overcome the restrictions of existing CMFD techniques. The input image is first converted to a YCbCr color space and then split into Y, Cb, and Cr color channels. The LIOP features are then extracted from each color channel and all the features are combined. The feature vectors are ordered lexicographically and related features are detected by comparing the LIOP features. Although the LIOP feature has rarely been used in CMFD prior to this study, the success rate of the proposed method is high. In addition, since the channels are not correlated to each other in the YCbCr color space, each color channel is considered as a gray image, and the success rate is increased by combining the features extracted from each of the color channels. The proposed approach was assessed using the CoMoFoD and GRIP datasets. Experimental findings demonstrated that the suggested method was successful and displayed robustness in post-processing attacks.     

一种新的自适应干涉动目标检测方法

本文在详细分析干涉动目标检测方法的基础上,提出了一种新的从雷达接收到的原始数据中直接提取干涉对消杂波所需参数的方法.这种方法计算量不大,易于工程实现.计算机仿真证明了这种方法具有很好的杂波对消效果.     

一种语音段起止端点检测新方法

本文在讨论传统语音段起止端点检测方法及其不足的基础上 ,提出了一种新的端点检测方法 ,称为频带方差检测法。实验证明 ,该方法有效提高了语音段起止端点检测的精确度和可靠性。     

A new anti‐collision algorithm for RFID tag

We present a new radio frequency identification tag anti‐collision algorithm in this paper. The main idea of this algorithm is that we should find the collided bit at first, and every tag contains a register RC, which has length the same as the tag's ID length to store the conflict bit, then all the subsequent processing are based on the conflict bit. In this new algorithm, tag uses a binary pulse string to transfer data to the reader, compared with the traditional query tree‐based algorithms, which is based on the tag's ID; this new algorithm is more efficient and requires fewer read cycles for tag's identification. Copyright © 2013 John Wiley & Sons, Ltd.     

Highly parallel collision detection processor for intelligentrobots

A collision detection VLSI processor is proposed in order to achieve ultrahigh-performance processing with an ideal parallel processing scheme. A large number of coordinate transformations and memory accesses to the obstacle memory are fully utilized in the processing algorithm, so that direct collision detection can be executed with a VLSI-oriented regular data flow. The structure of each processing element (PE) is very simple because a PE mainly consists of a COordinate Rotational DIgital Computer (CORDIC) arithmetic unit for the coordinate transformation and memories for the storage of manipulator and obstacle information. When 100 PEs are used for parallel processing, the performance is about 10,000 times faster than that of conventional approaches using a single general-purpose microprocessor     

一种新的无触点IC卡的检测方法

无触点IC卡在制卡过程中需要经过绕线碰焊、INLAY层压、成品层压工艺,可能造成芯片EEPROM的损坏,而这种IC卡是不能读写个人化数据的.本文基于上述情况,提出了一种新的在传统的检测仪中通过增加写模块,并设计相应的检测程序来实现检测IC卡芯片存储单元的检测方法.同时该检测方式是集成在功能检测仪中,一次可检测24张标准卡片,大大提高检测效率,对提高IC卡制作质量和缩短制作周期将产生促进作用.     

非降采样Contourlet图像边缘检测算法

介绍了非降采样Contoudet变换(NSCT)的结构特点与系数分布特性,并提出了基于NSCT的图像边缘检测算法,实现了对图像高频边缘的有效去噪和提取.该方法具有多向选择性、高低频信息并行检测、信息利用率高、两类边缘相互补偿修正精确定位及抗噪声干扰能力强等特点.通过仿真实验并与Prewitt、Sobel、Canny及多尺度小波边缘检测算法进行比较,验证了该方法的有效性和优越性.     

一种基于机器学习的运动目标阴影检测新方法

运动目标检测是物联网智能视频监控中的一个重 要环节。通过对各种阴影检测方法的研究,我们发现仅仅通过一种 特征进行处理并不能准确的检测出阴影。因此,本文提出了一种基于机器学习的运动目标阴 影检测新方法。该方法深度 融合颜色信息、光学不变性以及纹理特征等因素,通过机器学习,自适应地进行目标阴影检 测,在综合分析三种信息检 测结果的基础上,实现对阴影的有效确定。该算法能够有效地结合各种方法的优势,在物联 网应用中取得了较好的效果 和运行效率。