搜索资源列表
3
- 由于载体对象的高动态特点，其上装载的GNSS 接收机在捕获信号和跟踪定位上面临很大的挑战，因此致使 GNSS/INS 组合系统的定位效果受到严重影响。本论文以 MEMS IMU/GNSS 超紧组合为研究目标，并以 MEMS IMU 环路辅助的GNSS/INS 紧组合技术为研究重点，深入研究了 MEMS IMU 辅助的 GNSS 信号捕获、MEMS IMU 辅助的 GNSS 信号跟踪、MEMS IMU 辅助的 GNSS/INS 紧组合导航定位算法和基于矢量跟踪结构的 GNSS/INS 超紧组
5
- 在GPS软件接收机和SINS辅助GPS跟踪技术的基础上,提出了一种SINS/GPS超紧致组合导航方案。该超紧致方案在GPS软件接收机的捕获环节中加入了基于相位估计的精细捕获算法,从而提高了频率捕获精度,省略了频率跟踪牵引过程 在信号跟踪环节中,利用SINS位置、速度信息与卫星参数,求取接收机与卫星之间的径向距离和径向距离率,为码环、载波环提供辅助,从而降低了载体动态变化对跟踪环的影响,提高了跟踪环的动态跟踪性能 同时,降低载波环噪声带宽,减小码环相关间隔,从而提高了载波环和码环的跟踪精度。-On
1
- 超紧耦合是 GPS/INS 组合导航系统的最新研究方向，它采用 INS 测得的载体动态信息辅助 GPS 接收机跟踪环 路，消除卫星信号中由于载体与卫星之间相对运动所产生的频率偏移，提高接收机在高动态环境下载波跟踪性能，同时还 可以压缩带宽，有效增强接收机抗干扰性能。介绍 GPS/INS 超紧耦合技术，给出 INS 辅助 GPS 载波跟踪环路结构图和相应 的数学模型，分析 INS 辅助 GPS 跟踪环路在动态环境下的动态残留及其对环路相位误差的影响，并进行了模型仿真，最后 对仿真结
04470129.rar
- Research in motion analysis has evolved over the years as a challenging field. Moving object detection and tracking is of major interest in applications such as traffic monitoring, military, medicine and biological sciences etc. In this a ne
01442188
- An Efficient Bayesian Algorithm for Joint Target Tracking and Classification，IEEE的论文， 有IEEE帐号的才能下载， 很珍贵-An Efficient Bayesian Algorithm for Joint Target Tracking and Classification
KNN
- 话题跟踪与研究，基于knn算法，非常值得思考！-Tracking and research topic, based on the KNN algorithm, very worth considering!
tracker-code-20111118
- motion tracking to detect and track moving objects through a sequence of images
fuzabeijinggenzong
- 介绍了一种常用的Kim目标分割方法,并 针对其不足,对Kim方法进行了改进,将连续两帧的差分图像和背景差分图像直接相乘得到灰度图 像,然后对该灰度图像进行阈值分割来获取目标区域模板,再基于灰度加权图像模板匹配法实现目标 跟踪 -A common Kim target segmentation, and for its shortcomings, Kim method improvements, the two consecutive frames of the different
betke-ha-da-96
- lpr detection and tracking
OBJECT_TRACKING_BY_DTCWT_FEATURE_VECTORS-2-3-4.ra
- OBJECT TRACKING BY DTCWT FEATURE VECTORS
gardnertimingdetector
- This paper presents the simulation performance of the all-digital symbol timing recovery using the Gardner Timing Error Detector over π/4-DQPSK modulation. The open loop statistics, the S-curve and the normalized timing error variance, were investiga
tracking_survey
- 一篇新的跟踪综述，描述了现在比较常见的跟踪方法。-tracking survey
04
- 基于彩色图像的机器人视觉跟踪,论文比较有创新。-Robot tracking by color image
05
- 基于多传感器多目标跟踪的机器人足球视觉系统,，论文创新性强-Multi sensor multi target tracking of robot soccer vision system based on
Segmentation_and_tracking_of_multiple_video_objec
- Segmentation and tracking of multiple video objects
the-interprete-of-TLD
- 计算机视觉 视频跟踪 TLD算法 原文译文-the interpretation of tracking-learning-detection
data
- Particle filters are often used for tracking objects within a scene. As the prediction model of a particle filter is often implemented using basic movement predictions such as ran- domwalk,constantvelocityoracceleration,thesemodelswill us
amol
- EFFICIENT VEHICLE TRACKING AND CLASSIFICATION FOR AN AUTOMATED TRAFFIC SURVEILLANCE SYSTEM
Art10-3_8
- Maximum power point tracking using a fuzzy logic control scheme
RTQP-sig-alternate-v2
- Wireless Sensor Networks (WSN) have recently been in the limelight for many domains. WSN are useful in data collection, event detection or entity tracking applications. The characteristics of sensor networks have imposed various restrictions on their