Intelligently tuned wavelet parameters for GPS/INS error estimation

This paper presents a new algorithm for de-noising global positioning system (GPS) and inertial navigation system (INS) data and estimates the INS error using wavelet multi-resolution analysis algorithm (WMRA)-based genetic algorithm (GA) with a well-designed structure appropriate for practical and real time implementations because of its very short training time and elevated accuracy. Different techniques have been implemented to de-noise and estimate the INS and GPS errors. Wavelet de-noising is one of th...     

WebGIS在114电话导航中的应用

针对114传统业务在空间信息查询方面的局限性及用户对位置信息的多样化需求,实现一种基于瓦片和Ajax技术的电子地图发布,设计POI查询、公交搜索和自驾导航路径分析等3个空间搜索引擎,并开发一套114电话导航WebGIS平台。该平台可供114客服人员为客户提供各种空间信息查询服务。     

基于3D GIS无人直升机地面站系统软件设计与实现

为了实现无人直升机地面站系统的空间数据处理、三维可视化和导航的功能,提出了基于3D GIS无人直升机地面站系统软件设计及其实现的方法.首先对无人直升机的整体系统框架进行说明,然后对地面站系统的软件框架设计和各个功能模块做了详细的分析,在此基础上重点分析了利用World Wind Java软件开发包来实现3D GIS导航的过程.整个地面站软件系统使用Java语言编写,嵌入3DGIS.最后以实例证明了该地面站系统软件的可行性,并且具有良好的可移植性和可扩充性.     

基于单目视觉的移动机器人导航算法研究进展

基于单目视觉的移动机器人导航的研究,涵盖了机器视觉、模式识别和多目标跟踪多个领域．其算法框架不仅成功应用于移动机器人导航,还为目标检测、识别与跟踪领域的研究提供了可供参考的模型．该综述将以算法发展历史为脉络,结合一些典型系统,通过对关键技术和算法结构的分析比较,总结算法本身的发展前景和由此发展起来的可供相关研究参考的算法框架．     

基于小波和人工智能技术的车辆无缝定位技术研究

基于自适应神经模糊逻辑推理系统(ANHS),在全球定位系统(GPS)信号阻塞时,为惯性导航系统(INS)提供位置和速度修正量以提高系统的精度和鲁棒性.首先用小波对数据信号进行降噪处理;然后设定INS的位置或速度作为ANHS的输入参数,经训练后输出相应修正量,训练期望值为经小波多分辨率分析得到的位置误差和速度误差.实验表明,无GPS信号时定位精度比同条件下卡尔曼滤波精度提高约40%,因此该方法可为车辆提供可靠有效的导航定位服务.     

Using a Visual Attention Model to Improve Gaze Tracking Systems in Interactive 3D Applications

This paper introduces the use of a visual attention model to improve the accuracy of gaze tracking systems. Visual attention models simulate the selective attention part of the human visual system. For instance, in a bottom‐up approach, a saliency map is defined for the image and gives an attention weight to every pixel of the image as a function of its colour, edge or intensity. Our algorithm uses an uncertainty window, defined by the gaze tracker accuracy, and located around the gaze point given by the tracker. Then, using a visual attention model, it searches for the most salient points, or objects, located inside this uncertainty window, and determines a novel, and hopefully, better gaze point. This combination of a gaze tracker together with a visual attention model is considered as the main contribution of the paper. We demonstrate the promising results of our method by presenting two experiments conducted in two different contexts: (1) a free exploration of a visually rich 3D virtual environment without a specific task, and (2) a video game based on gaze tracking involving a selection task. Our approach can be used to improve real‐time gaze tracking systems in many interactive 3D applications such as video games or virtual reality applications. The use of a visual attention model can be adapted to any gaze tracker and the visual attention model can also be adapted to the application in which it is used.     

Guiding students to the right questions: adaptive navigation support in an E‐Learning system for Java programming

Rapid growth of the volume of interactive questions available to the students of modern E‐Learning courses placed the problem of personalized guidance on the agenda of E‐Learning researchers. Without proper guidance, students frequently select too simple or too complicated problems and ended either bored or discouraged. This paper explores a specific personalized guidance technology known as adaptive navigation support. We developed JavaGuide, a system, which guides students to appropriate questions in a Java programming course, and investigated the effect of personalized guidance a three‐semester long classroom study. The results of this study confirm the educational and motivational effects of adaptive navigation support.     

基于LOM的人工智能教学资源整合与个性化学习导航

学习对象元数据(LOM,Learning Object Metadata)是IEEE采用的一种表示学习对象(教学资源)信息的规范,本文采用LOM规范管理网络教学资源,通过LOM中的"关系"元素表示教学资源之间的依赖关系,构造从LOM到扩展知识结构图的转换接口,从而利用基于扩展知识结构图的教学规划方法为学习者提供个性化学习导航。以人工智能教学资源整合和学习导航为例加以说明。     

模糊理论在机器人超声传感器中的应用及改进

移动机器人的自动能力中实时避障和导航是一个很关键的技术,研究中主要的问题是：机器人在运动时需要充分的环境信息,而且处理这些信息的速度要快,要满足实时性的要求。文章详细介绍了将模糊理论应用于移动机器人超声传感器阵列对未知环境的探索、感知过程,从而提高了传感阵列的融合的有效性及实时性,并通过仿真结果对模糊融合方法的性能进行研究与改进,确定了模糊融合方案的具体实现步骤,完成了一个简化的仿真算例,得出了相关结论。     

北斗双星／SINS组合导航中的捷联惯导算法研究

摘要针对北斗双星／SINS组合导航系统,研究了捷联惯导的姿态和速度更新算法。将等效旋转矢量算法应用与姿态解算,消除了传统的四元数算法存在的不可交换性误差对导航精度的影响,并对速度解算中的划浆误差进行了补偿。将算法应用到北斗双星／捷联惯导组合导航系统,通过实际的跑车实验验证算法的有效性。