https://www.indooratlas.com/ MaLoc: a practical magnetic fingerprinting approach to indoor localization using smartphones However, tracking the location of a mobile user requiresfrequent Wi-Fi scanning which is quite power hungry. This approach is ba…

Magnetic Fingerprinting Approach to Indoor Localization…

Task: Indoor Positioning with WiFi SignalsYou are hired by a company to design an indoor localization system using WiFi data. Thescenario has five locations as depicted below.Figure 1: Localization scenarioThere are three WiFi access points in the ar…

目录 Grad-CAM:Visual Explanations from Deep Networks via Gradient-based Localization 1.Abstract 2.Introduction 3.Approach 4.Evaluating Localization 4.1. Weakly-supervised Localization 4.2 Weakly-supervised Segmentation 5.Evaluating Visualizations 5.1 E…

This article come from HEREARS-L1: Learning Tuesday 10:30–12:30; Oral Session; Room: Leonard de Vinci 10:30  ARS-L1.1—GROUP STRUCTURED DIRTY DICTIONARY LEARNING FOR CLASSIFICATION Yuanming Suo, Minh Dao, Trac Tran, Johns Hopkins University, USA; Hojj…

摘要: 最近打算使用Kinect实现机器人的室内导航,收集了近年来的一些比较好的文章.<基于Kinect系统的场景建模与机器人自主导航>.<Mobile Robots Navigation in Indoor Environments Using Kinect>.<Using a Depth Camera for Indoor Robot Localization and Navigation>.<Depth Camera Based Indoor Mobile…

CVPR2015 Papers震撼来袭! CVPR 2015的文章可以下载了,如果链接无法下载,可以在Google上通过搜索paper名字下载(友情提示:可以使用filetype:pdf命令). Going Deeper With ConvolutionsChristian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke…

@http://www-cs-faculty.stanford.edu/people/karpathy/cvpr2015papers/ CVPR 2015 papers (in nicer format than this) maintained by @karpathy NEW: This year I also embedded the (1,2-gram) tfidf vectors of all papers with t-sne and placed them in an interf…

From:  http://www.pamitc.org/cvpr15/program.php Official Program for CVPR 2015 Monday, June 8 8:30am-8:40am Ballrooms A,B,C Rooms 302,304,306 Opening Remarks from Conference Chairs The opening remarks will be made from Ballrooms A,B,C, but a live vid…

Slam即时定位与地图构建 技术解释 同步定位与地图构建(SLAM或Simultaneous localization and mapping)是一种概念:希望机器人从未知环境的未知地点出发,在运动过程中通过重复观测到的地图特征(比如,墙角,柱子等)定位自身位置和姿态,再根据自身位置增量式的构建地图,从而达到同时定位和地图构建的目的. 使用情景 一个由德国达姆施塔特理工大学研发的机器人正使用激光成像探测与测距技术来给迷宫绘图. 上图的机器人描绘出的地图. 操作性定义 这里说的地图,是用来在环境中…

SLAM for Dummies  SLAM初学者教程A Tutorial Approach to Simultaneous Localization and Mapping  一本关于实时定位及绘图(SLAM)的入门指导教程 目录 1. 目录 2. 简介 3. 关于SLAM 4. 硬件 -机器人 -距离量测设备 5. SLAM处理过程 6. 雷达数据 7. 里程计数据 8. 地标 9. 地标提取 SPIKE地标 RANSAC 多种策略 10. 数据结合 11. EKF扩展科尔曼滤波 过程简介…

SLAM for Dummies  SLAM初学者教程A Tutorial Approach to Simultaneous Localization and Mapping  一本关于实时定位及绘图(SLAM)的入门指导教程 目录 1. 目录 2. 简介 3. 关于SLAM 4. 硬件 -机器人 -距离量测设备 5. SLAM处理过程 6. 雷达数据 7. 里程计数据 8. 地标 9. 地标提取 SPIKE地标 RANSAC 多种策略 10. 数据结合 11. EKF扩展科尔曼滤波 过程简介…

论文链接: https://arxiv.org/pdf/1311.2524.pdf Abstract Our approach combines two key insights: (1) one can apply high-capacity convolutional neural net-works (CNNs) to bottom-up region proposals in order to localize and segment objects. #bottom-up region…

Kamol Kaemarungsi and Prashant Krishnamurthy Telecommunications Program School of Information Science. University of Pittsburgh 135 N. Bellefield Avenue, Pittsburgh. Pennsylvani Given a set of system parameters and radio propagation characteristics.…

Authors: Joong-Tae Park, Jae-Bok Song Department:Department  of  Mechanical  Engineering,  Korea  University,  Anam-ro  145,  Seongbuk-gu,  Seoul,  South  Korea(机械工程系,高丽大学,韩国) Exploration is one of the most important functions for a mobile service ro…

Felix Endres 论文下载 Technische Fakult¨ atAlbert-Ludwigs-Universit¨ at Freiburg Betreuer: Prof. Dr. Wolfram Burgard 简介:In recent years, commercially available mobile robots, that operate in indoor environments, have found their ways into private homes,…

Analyzing The Papers Behind Facebook's Computer Vision Approach Introduction You know that company called Facebook? Yeah, the one that has 1.6 billion people hooked on their website. Take all of the happy birthday posts, embarrassing pictures of you…

张宁 Semantic Labeling of Indoor Environments from 3D RGB Maps Manuel Brucker,  Maximilian Durner,  Rare Ambru, Zoltán Csaba Márton, Axel Wendt, Patric Jensfelt,  Kai O. Arras,  Rudolph Triebel "链接:https://pan.baidu.com/s/1JtQfWlhynnXvh69VLmvAFg 提取码:7e…

Prerequisite: VGG Ref: [Object Tracking] Localization and Detection SSD Paper: http://lib.csdn.net/article/deeplearning/53059 SSD Paper: https://arxiv.org/abs/1512.02325 [Origin, Liu et al., 2015] 17 pages. 摘要: 我们提出了一种使用单个深层神经网络检测图像中对象的方法. 我们的方法,名为SS…

For image classification tasks, a common choice for convolutional neural network (CNN) architecture is repeated blocks of convolution and max pooling layers, followed by two or more densely connected layers. The final dense layer has a softmax activa…

A Multi-Sensorial Simultaneous Localization and Mapping (SLAM) System for Low-Cost Micro Aerial Vehicles in GPS-Denied Environments 一种在无GPS环境中设计的面向低价微型飞行器的多传感器同步定位成图系统 学术编辑:Gonzalo Pajares Martinsanz收到:2017年1月25日:接受:2017年4月5日:发布时间:4月8日201 Abstract: O…

iOS Programming Localization 本地化 Internationalization is making sure your native cultural information is not hard-coded into your application. 国际化确保你的本土信息不是硬编码进你的应用. By cultural information, we mean language, currency, date formats, number formats, a…

张宁    SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes    "链接:https://pan.baidu.com/s/1hpwb8IjtEpb3uTIncJbTUg 提取码:0wz1" Trung T. Pham  , Thanh-Toan Do  , Niko Sünderhauf , Ian Reid SceneCut:室内场景的联合几何和对象分割 This paper presents S…

Marcin Dymczyk, Igor Gilitschenski, Juan Nieto, Simon Lynen, Bernhard Zeis, and Roland Siegwart LandmarkBoost: Efficient Visual Context Classifiers for Robust Localization LandmarkBoost:用于鲁棒定位的高效的视觉上下文分类器 Abstract—The growing popularity of autonomous s…

Abstract Input: A query image Source: A point cloud reconstruction of a large scene (有一百多万3D点) Result:pose 关键:an efficient and effective search method to establish matches between image features and scene points needed for pose estimation. 一个动态搜多额外匹配…

论文地址:https://asa.scitation.org/doi/abs/10.1121/1.5036725 深度神经网络在浅水环境中的源定位 摘要: 深度神经网络(DNNs)在表征复杂的非线性关系方面具有优势.本文将DNNs应用于浅水环境下的源定位.提出了两种方法,通过不同的神经网络结构来估计宽带源的范围和深度.第一阶段采用经典的两阶段方案,特征提取和DNN分析是两个独立的步骤;与模态信号空间相关联的特征向量被提取为输入特征.然后,利用时滞神经网络对长期特征表示进行建模,构建回归模型;第二…

Computer Networking - A Top-Down Approach Six Edition Learn HTTP Using Browser and Proxy 2016-03-20 First, set the proxy server in your browser to the localhost and configure the port.(for me, it is 192.168.1.105 and 12000 port) Second, create a simp…

广告联盟或许网站运营者都希望能够精准定位并标识每一个个体,通过对用户行为的分析(浏览了哪些页面?搜索了哪些关键字?对什么感兴趣?点了哪些按钮?用了哪些功能?看了哪些商品?把哪些放入了购物车等等),为用户推送更加精准的广告(精准化营销).同时,通过对用户的标识,可以将不同站点的用户进行关联. 在过去,实现上述cookie是最受欢迎的一种.但由于移动互联网的发展,移动设备限制.用户禁用cookie.使得cookie愈来愈不受待见.伴随着html5的成熟,通过canvas fingerprinting…

Lukas Neuman--[ICDAR2015]Efficient Scene Text Localization and Recognition with Local Character Refinement 算法介绍 Fig. 2. Overview of the method. Initial text hypotheses efficiently generatedby a MSER detector are further refined using a local text mod…

一点最重要的学习方法:  当你读一篇论文读不懂时,如果又读了两遍还是懵懵懂懂时怎么办???方法就是别自己死磕了,去百度一下,如果是很好的论文,大多数肯定已经有人读过并作为笔记了的,比如我现在就把我读过以后的收获记下来(我也看了好几篇前人的博文的)...百度没有去试试google吧...如何快速读懂读明白一篇文章也是一种能力,选择的方法往往大于努力的. 对于这篇论文,网上有很多写的好的总结,大家可以去看,以下我写的内容零零散散,建议大家不要浪费时间看了哦. 文章基于 ILSVRC2013 的数据集…