Biblio

rechercheDoc/biblio.bib

@@ -17,6 +17,110 @@ note = {performance analysis;Microsoft kinect sensor;2D simultaneous localizatio
 URL = {http://dx.doi.org/10.3390/s141223365},
 } 
 
+@article {robotas,
 
+    language={English},
 
+    title={ROS and Kinect- Ubuntu Installation},
 
+    author={Dimitrios Prodromou},
+
+    abstract={Une présentation succinte de l'installation de ROS, d'Eclipse et des drivers de Kinect sur Ubunut 10.10 Maverick. L'article propose aussi un test de l'installation, puis la manière d'installer PCL},
+
+    URL={http://robotas.at/ros-and-kinect-ubuntu-installation/},
+
+    }
+
+@inproceedings{Kinect-robotic ,
+
+    language = {English},
+
+    copyright = {Copyright 2012, The Institution of Engineering and Technology},
+
+    title = {Study on the Use of Microsoft Kinect for Robotics Applications},
+
+    journal = {2012 IEEE/ION Position, Location and Navigation Symposium - PLANS 2012},
+
+    author = {El-laithy, R.A. and Jidong Huang and Yeh, M.},
+
+    year = {2012//},
+
+    pages = {1280 - 8},
+
+    address = {Piscataway, NJ, USA},
+
+    abstract = {The Microsoft X-Box Kinect Sensor is a revolutionary new depth camera that is used in the gaming industry to capture motions of people and players efficiently using the technology of an RGB camera and infrared camera to differentiate depth. In the Microsoft X-Box, Kinect was used to sense 3D perception of human's motions. It can also be used for robotic applications, precisely for indoor navigation through the process of reverse engineering. Certain software packages were made available and are open source from “LibFreenect” for Linux machines, Microsoft's Kinect SDK using the Kinect namespace on Visual Studio 2010 Express (C++, C# or Visual Basic), and Google's released “Robotic Operating System (ROS)”. In order to claim that this sensor is capable of taking on such a task, we must be able to investigate thoroughly all factors that contribute to this and at the same time we must be able to understand its limitations to be applied and integrated properly with certain types of robots for accomplishing our purpose of achieving successful indoor navigation using proper algorithms. In this paper, the results from testing the Kinect sensor on an autonomous ground vehicle was given.},
+
+    keywords = {C++ language;cameras;control engineering computing;infrared imaging;Linux;mobile robots;operating systems (computers);reverse engineering;robot vision;software packages;Visual BASIC;},
+
+    note = {robotics application;Microsoft X-Box Kinect sensor;depth camera;gaming industry;motion capture;RGB camera;infrared camera;3D perception;human motion;indoor navigation;reverse engineering;software package;LibFreenect;Linux machine;Microsoft Kinect SDK;Visual Studio 2010 Express;C++ language;C# language;Visual Basic;robotic operating system;ROS;autonomous ground vehicle;robot localization;},
+
+    URL = {http://dx.doi.org/10.1109/PLANS.2012.6236985},
+
+    } 
+
+@inproceedings{Kinect-3D,
+
+    language = {English},
+
+    copyright = {Copyright 2012, The Institution of Engineering and Technology},
+
+    title = {3D with Kinect},
+
+    journal = {2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)},
+
+    author = {Smisek, J. and Jancosek, M. and Pajdla, T.},
+
+    year = {2011//},
+
+    pages = {1154 - 60},
+
+    address = {Piscataway, NJ, USA},
+
+    abstract = {We analyze Kinect as a 3D measuring device, experimentally investigate depth measurement resolution and error properties and make a quantitative comparison of Kinect accuracy with stereo reconstruction from SLR cameras and a 3D-TOF camera. We propose Kinect geometrical model and its calibration procedure providing an accurate calibration of Kinect 3D measurement and Kinect cameras. We demonstrate the functionality of Kinect calibration by integrating it into an SfM pipeline where 3D measurements from a moving Kinect are transformed into a common coordinate system by computing relative poses from matches in color camera.},
+
+    keywords = {calibration;cameras;image motion analysis;image reconstruction;image sensors;solid modelling;stereo image processing;},
+
+    note = {3D measuring device;depth measurement resolution;stereo reconstruction;SLR camera;3D-TOF camera;time-of-flight;Kinect geometrical model;Kinect calibration procedure;Kinect 3D measurement;SfM pipeline;structure from motion;},
+
+    URL = {http://dx.doi.org/10.1109/ICCVW.2011.6130380},
+
+    } 
+
+@article{Alisher20151475,
+
+    title = "Control of the Mobile Robots with \{ROS\} in Robotics Courses ",
+
+    journal = "Procedia Engineering ",
+
+    volume = "100",
+
+    number = "0",
+
+    pages = "1475 - 1484",
+
+    year = "2015",
+
+    note = "25th \{DAAAM\} International Symposium on Intelligent Manufacturing and Automation, 2014 ",
+
+    issn = "1877-7058",
+
+    doi = "http://dx.doi.org/10.1016/j.proeng.2015.01.519",
+
+    url = "http://www.sciencedirect.com/science/article/pii/S1877705815005469",
+
+    author = "Khassanov Alisher and Krupenkin Alexander and Borgul Alexandr",
+
+    keywords = "\{ROS\}",
+
+    keywords = "robotics",
+
+    keywords = "education",
+
+    keywords = "multiagent system",
+
+    keywords = "remote control ",
+
+    abstract = "Abstract The paper describes implementation of mobile robots programming process with Robot Operating System (ROS) in student robotics courses. \{ROS\} provides different tools for data analysis, facilities of multiple robots and their sensors, teleoperation devices interaction thereby targeting engineering education. An example with the multiagent interaction between agent-evader and agent-pursuer were taken as the basic navigational task. The computed behavior of the virtual agents were successfully transferred to the quadcopters, Lego Mindstorms \{NXT\} based and Robotino robots. Diverse experimental tests were conducted using the algorithms on virtual agents and robotic platforms. "
+
+    }