2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE)最新文献

Robust pseudo-random fiducial marker for indoor localization 用于室内定位的鲁棒伪随机基准标记

2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Pub Date : 2011-10-24 DOI: 10.1109/ROSE.2011.6058524

Alexandros Stathakis, E. Petriu

引用次数: 4

Synthesis of flatness control for a multi-axis robot manipulator: An experimental approach 多轴机械臂平面度综合控制的实验方法

2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Pub Date : 2011-10-24 DOI: 10.1109/ROSE.2011.6058539

M. Allouache, M. Lowenberg, D. Wagg

引用次数: 3

Humanoid hearing: A novel three-dimensional approach 类人听觉:一种新颖的三维方法

2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Pub Date : 2011-10-24 DOI: 10.1109/ROSE.2011.6058527

F. Keyrouz

引用次数: 10

Observers for linear distributed-parameter systems: A survey 线性分布参数系统的观测器:综述

2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Pub Date : 2011-10-24 DOI: 10.1109/ROSE.2011.6058523

Z. Hidayat, Robert Babuška, B. Schutter, A. Núñez

引用次数: 76

Incremental, orthorectified and loop-independent mosaicking of aerial images taken by micro UAVs 微无人机航拍图像的增量、正校正和不依赖回路拼接

2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Pub Date : 2011-10-24 DOI: 10.1109/ROSE.2011.6058531

S. Yahyanejad, M. Quaritsch, B. Rinner

{"title":"Incremental, orthorectified and loop-independent mosaicking of aerial images taken by micro UAVs","authors":"S. Yahyanejad, M. Quaritsch, B. Rinner","doi":"10.1109/ROSE.2011.6058531","DOIUrl":"https://doi.org/10.1109/ROSE.2011.6058531","url":null,"abstract":"In this paper we survey thoroughly the problem of orthorectified and incremental image mosaicking of a sequence of aerial images taken from low-altitude micro aerial vehicles. Most of existing approaches have been exploiting the global optimization (in presence of a loop in the image sequences) to distribute and/or metadata to mitigate the accumulating stitching error. However, the resulting mosaic can be improved if the errors are diminished by studying their sources. Mostly the UAV aerial image mosaicking is affected by the following three important sources of error: i) a weak homography as a result of using unleveled ground control points (GCPs) for image registration, ii) a poor camera calibration and image rectification, and iii) deficiency of a well-defined projection model (cylindrical, planar, etc) and consequently an inappropriate transformation model. We investigate the influences of using a depth map to find the features from the same plane, geometric distortion correction and combining the appropriate choice of projection and transformation model for the mosaicking. We further quantify the improvement of orthorectification in mosaics by mitigating those errors and demonstrate the improvement on real-world mosaics.","PeriodicalId":361472,"journal":{"name":"2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126527566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Robust speed control of a spherical robot using ARX uncertain modeling 基于ARX不确定建模的球形机器人鲁棒速度控制

2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Pub Date : 2011-10-24 DOI: 10.1109/ROSE.2011.6058538

M. Kamaldar, M. Mahjoob, H. Alizadeh

引用次数: 7

Immersive virtual environment for mobile platform remote operation and exploration 用于移动平台远程操作和探索的沉浸式虚拟环境

2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Pub Date : 2011-10-24 DOI: 10.1109/ROSE.2011.6058534

J. Fournier, M. Mokhtari, B. Ricard

{"title":"Immersive virtual environment for mobile platform remote operation and exploration","authors":"J. Fournier, M. Mokhtari, B. Ricard","doi":"10.1109/ROSE.2011.6058534","DOIUrl":"https://doi.org/10.1109/ROSE.2011.6058534","url":null,"abstract":"These days, robotic platforms are commonly used in operational conditions where manned operations are not practical, not cost-effective or too dangerous. Those robotic devices rely heavily on remote operations using imagery acquired by on-board sensors that provide quite limited situational awareness to the user. In difficult scenarios, this lack of good situational awareness could lead to the failure of the mission. This paper presents a new concept currently in development that will improve situational awareness of the remote platform operator through an immersive virtual environment. The system uses an immersive chamber (CAVE) in which the operator is able to visualize and interact with an avatar of a robot evolving in a 3D model of its area of operation. The 3D model is incrementally built from the remote platform sensor feeds and provides “persistent data” to the user. This paper presents the first phase of the work which involves the development of a concept demonstration prototype. The implementation uses a robot simulator instead of a real world robot in order to rapidly be able to evaluate the concept and perform experiments. The tools developed in simulation will serve as the base for further developments and support the transition to a real robotic platform.","PeriodicalId":361472,"journal":{"name":"2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131639380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Design and implementation of a small size robot localization system 小型机器人定位系统的设计与实现

2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Pub Date : 2011-10-24 DOI: 10.1109/ROSE.2011.6058536

S. Zug, Christoph Steup, André Dietrich, Kyrylo Brezhnyev

引用次数: 5

An improved Artificial Potential Field approach to real-time mobile robot path planning in an unknown environment 一种改进的人工势场法在未知环境下实时移动机器人路径规划中的应用

2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Pub Date : 2011-10-24 DOI: 10.1109/ROSE.2011.6058518

J. Sfeir, M. Saad, H. Saliah-Hassane

引用次数: 103

Improving alignment of faces for recognition 改善面部识别的对齐

2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Pub Date : 2011-10-24 DOI: 10.1109/ROSE.2011.6058545

Md. Kamrul Hasan, C. Pal

{"title":"Improving alignment of faces for recognition","authors":"Md. Kamrul Hasan, C. Pal","doi":"10.1109/ROSE.2011.6058545","DOIUrl":"https://doi.org/10.1109/ROSE.2011.6058545","url":null,"abstract":"Face recognition systems for uncontrolled environments often work through an alignment, feature extraction, and recognition pipeline. Effective alignment of faces is thus crucial as can be an entry point in the process and poor alignments can greatly affect recognition performance. The task of alignment is particularly difficult when a face comes from highly unconstrained environments or so called faces in the wild. A lot of recent research activity has focused on faces in the wild and even simple similarity or affine transformations have proven both effective and essential to achieving state of the art performance. In this paper we explore a straightforward, fast and effective approach to aligning faces based on detecting facial landmarks using Haar-like image features and a cascade of boosted classifiers. Our approach is reminiscent of widely used face detection approaches, but focused on much more detailed features of a face such eye centres, the nose tip and corners of the mouth. This process generates multiple candidates for each landmark and we present a fast and effective filtering strategy allowing us to find sets of landmarks that are consistent. Our experiments show that this approach can outperform contemporary methods and easily fits into popular processing pipelines for faces in the wild.","PeriodicalId":361472,"journal":{"name":"2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE)","volume":"580 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123072866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13