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A Geospatial Tangible User Interface to Support stakeholder Participation in Urban Planning 1

A Geospatial Tangible User Interface to Support Stakeholder ...

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1st International conference on Geographical Information Systems Theory, Applications and Management (GIstAM)

作者： Maquil, Valerie De Sousa, Luis Leopold, Ulrich Tobias, Eric Luxembourg Inst Sci & Technol IT Innovat Serv 5Ave Hauts Fourneaux L-4362 Esch Sur Alzette Luxembourg Luxembourg Inst Sci & Technol Environm Res & Innovat L-4362 Esch Sur Alzette Luxembourg

ISBN: (纸本)9789897581427

The complexity of urban projects today requires new approaches to integrate stakeholders with different professional backgrounds. Traditional tools used in urban planning are designed for experts and offer little opportunity for participation and collaborative design. This paper introduces the concept of Geospatial Tangible User Interfaces (GTUI), and reports on the design and implementation of such a GTUI to support stakeholder participation in collaborative urban planning. The proposed system uses physical objects to interact with large digital maps and geospatial data projected onto a tabletop. It is implemented using a PostGIS database, a web map server, the computer vision framework reacTIvision, a Java based TUIO client, and GeoTools. Based on a series of comments collected during an evaluation workshop with stakeholders in the fields of urban and energy planning, we discuss how maps projected on a table and physical objects can be an new approach to participatory bottom-up urban planning.

关键词： Geographical Information Systems Human computer Interaction Geospatial Tangible User Interfaces Interactive Tabletops Collaborative Urban Planning Participatory Urban Planning

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Speed Up Algorithms for Obstacles Detection in the robot vision System Using Point Cloud 1st

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1st conference on Creativity in Intelligent Technologies and Data Science (CIT and DS)

作者： Shcherbatov, I. A. Nguyen Tuan Dung Astrakhan State Tech Univ Astrakhan Russia

ISBN: (纸本)9783319237664;9783319237657

Simultaneous detection of obstacles in the near field of the mobile robot is extremely urgent and complex task. In general, environment around robot is very complicated due to differences in change of lighting conditions and viewing angles. These problems lead to decrease accuracy of obstacles recognition. They can change quickly. However, obstacles must occupy a certain region in space. Kinect can be used for obtaining depth information. Kinect is a new camera system. The high cost of the depth-sensor for a long time prevented active implementation of these methods. However, with the appearance Microsoft Kinect can significantly be improved quality and efficiency of obstacles detection in autonomous robot navigation. Obtained depth images have normal resolution of 640x480 pixels at 30 frames per second. In this paper, we propose algorithms for obstacle detection with algorithm "3D-point cloud". Algorithm contains some main steps: Creation 3D-point cloud, transformation "2D-Point Cloud", obtaining results. Obstacles are detected based on their specific areas. 3D-point cloud are obtained from the depth data. Point clouds are usually defined as a set of unorganized irregular points in 3D. They not only save coordinates of all points in the near zone of mobile robot, but also additional data points (e.g., RGB color values, intensity, etc.). Algorithm clustering (DBSCAN) has shown in step "getting results" to increase accuracy. Obstacle detection efficiency is increased by using point clouds due to lower size of input data. Using 3D-point clouds allows satisfying requirements for obstacle detection in real time. The experimental results show the effectiveness of proposed approach using in vision system of a mobile robot platform.

关键词： 3D-point cloud 2D point cloud obstacle mobile robot image recognition depth image Kinect downsampling algorithm clustering algorithm Density-Based Spatial Clustering of Applications with Noise

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Object Color Constancy for Outdoor Multiple Light Sources 1st

Object Color Constancy for Outdoor Multiple Light Sources

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1st Chinese conference on computer vision (CCCV)

作者： Qu, Liangqiong Duan, Zhigang Tian, Jiandong Han, Zhi Tang, Yandong Chinese Acad Sci Shenyang Inst Automat State Key Lab Robot Shenyang 110016 Peoples R China

ISBN: (纸本)9783662485705;9783662485699

Color is one of the mostly applied features for object recognition and tracking. Most work for color constancy is often based on the assumption of spatial uniformity or smooth illuminant transaction, which is not always true due to the presence of multiple light sources. In this paper, without these assumptions, we deal with the problem of color constancy in multiple light sources by computing the color constancy on a given object rather than the whole image. It keeps the color constancy for a given object under different outdoor lighting conditions, especially for an object under different shadows. We first calculate a transfer vector based on the given object and the illuminants ratio vector. This vector is then added to the original image to make the object be perpendicular to the illuminants ratio vector. Finally, an object color constant image is obtained by performing an orthogonal decomposition along the illuminants ratio vector on the new image. Compared with color constancy on whole image, this proposed method can reduce color distortion in the object and keep mostly color constancy for an object to be recognized and tracked regardless of lighting conditions. Both quantitative and qualitative experiments validate our method.

关键词： Object color constancy Illumination invariant Outdoor multiple light sources Object detection

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The role of robotics in computer controlled polishing of large and small optics 11

The role of robotics in computer controlled polishing of lar...

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conference on Optical Manufacturing and Testing XI

作者： Walker, David Dunn, Christina Yu, Guoyu Bibby, Matt Zheng, Xiao Wu, Hsing Yu Li, Hongyu Lu, Chunlian Natl Facil Ultra Precis Surfaces OpT Glyndwr St Asaph LL17 0JD N Wales Wales UCL Dept Phys & Astron London WC1E 6BT England Zeeko Ltd Coalville LE67 3FW Leics England Harbin Engn Univ Coll Sci Minist Educ China Key Lab In Fiber Integrated Opt Harbin 150001 Peoples R China

ISBN: (纸本)9781628417418

Following formal acceptance by ESO of three 1.4m hexagonal off-axis prototype mirror segments, one circular segment, and certification of our optical test facility, we turn our attention to the challenge of segment mass-production. In this paper, we focus on the role of industrial robots, highlighting complementarity with Zeeko CNC polishing machines, and presenting results using robots to provide intermediate processing between CNC grinding and polishing. We also describe the marriage of robots and Zeeko machines to automate currently manual operations;steps towards our ultimate vision of fully autonomous manufacturing cells, with impact throughout the optical manufacturing community and beyond.

关键词： polish robot automation grolish smooth segment asphere

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Detection and Association based Multi-target Tracking in Surveillance Video 1

Detection and Association based Multi-target Tracking in Sur...

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IEEE First International conference on Multimedia Big Data

作者： Shi, Dahu Zhang, Shun Wang, Jinjun Gong, Yihong Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Sch Elect & Informat Engn Xian 710049 Peoples R China

ISBN: (纸本)9781479986880

The Multiple Target Tracking (MTT) problem is one of the fundamental challenges in computer vision. In this paper, we propose a feasible detection and association based MTT system which uses a modified Deformable Part-Based Model (DPM) to generate detection results and then links detections into tracklets to further form long trajectories. We first describe our modified DPM algorithm which could automatically discovery optimal object part configurations to improve detection performance. Next to tackle the MTT problem, e.g., associating detections under imperfect detector identifications, severe occlusions and interferences between objects, etc conditions, we introduce an EM-like inference algorithm that alternatively optimizes the Trajectory Models (TM) for all the targets and the Maximum A Posterior (MAP) solution of the Markov Random Field (MRF) model. At the E-step, we update the TM based on the inference result of the current MRF model, and at the M-step, we use the up-to-date TM to re-compute the probabilities in the MRF model to re-fine the MAP solution. As shown by our experimental results, the presented detection and association based MTT system leads to satisfactory performance.

关键词： Belief propagation EM-like algorithm Markov random field Trajectory model

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robot Mediated Tele-presence through Body Motion Based Control

Robot Mediated Tele-presence through Body Motion Based Contr...

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IEEE International conference on Systems, Man and Cybernetics

作者： Jonggil Ahn Euijai Ahn Gerard J. Kim Dept. of Computer Science and Engineering Korea University Seoul Korea

In this paper, we propose a 1st person view and body motion based control method realized on a smart phone/pad called the Sprint (Smart Phone/Pad and robot for Teleoperation and Tele-presence). The smart phone/pad is chosen, aside from its ubiquity and wide usage, for its mobility and rich media (sensor/display) capabilities. The key idea of Sprint is to have the operator control and interact by "posing" as the robot in the remote area in hopes of eliciting a high sense of tele-presence and thereby promoting the spatial task performance and the overall interactive experience. In particular, we demonstrate a remote robot viewing control method based on this design principle and validate that the proposed approach does improve the sense of tele-presence and spatial understanding.

关键词： Cameras robot vision systems Intelligent sensors Aerospace electronics

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The Effect of Sensor Errors in Situated Human-computer Dialogue 3

The Effect of Sensor Errors in Situated Human-Computer Dialo...

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3rd Annual Meeting of the EPSRC Network on vision and Language and 1st Technical Meeting of the European Network on Integrating vision and Language, V and L Net 2014

作者： Schuette, Niels Kelleher, John Namee, Brian Mac Dublin Institute of Technology

Errors in perception are a problem for computer systems that use sensors to perceive the environment. If a computer system is engaged in dialogue with a human user, these problems in perception lead to problems in the dialogue. We present two experiments, one in which participants interact through dialogue with a robot with perfect perception to fulfil a simple task, and a second one in which the robot is affected by sensor errors and compare the resulting dialogues to determine whether the sensor problems have an impact on dialogue success. © COLING 2014. All rights reserved.

关键词： Errors

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V and L Net 2014 - 3rd Annual Meeting of the EPSRC Network on vision and Language and 1st Technical Meeting of the European Network on Integrating vision and Language, A Workshop of the 25th International conference on Computational Linguistics, COLING 2014 - proceedings

V and L Net 2014 - 3rd Annual Meeting of the EPSRC Network o...

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3rd Annual Meeting of the EPSRC Network on vision and Language and 1st Technical Meeting of the European Network on Integrating vision and Language, V and L Net 2014

The proceedings contain 22 papers. The topics discussed include: the effect of sensor errors in situated human-computer dialogue;joint navigation in commander/robot teams: dialog & task performance when vision is bandwidth-limited;TUHOI: Trento universal human object interaction dataset;multi-layered image representation for image interpretation;the last 10 meters: using visual analysis and verbal communication in guiding visually impaired smartphone users to entrances;keyphrase extraction using textual and visual features;and towards automatic annotation of communicative gesturing.

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vision-Based Qualitative Path-Following Control of Quadrotor Aerial Vehicle with Speeded-Up Robust Features

Vision-Based Qualitative Path-Following Control of Quadrotor...

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11th canadian conference on computer and robot vision (CRV)

作者： Trung Nguyen Mann, George K. I. Gosine, Raymond G. Mem Univ Newfoundland Fac Engn & Appl Sci IS Lab St John NF A1B 3X5 Canada

ISBN: (纸本)9781479943388

This paper describes a vision-based 3D navigation technique for path-following control of Quadrotor Aerial Visual-Teach-and-Repeat system. The navigation method is developed on Funnel Lane theory, which defines possible positions to fly straight. The navigation calculation utilizes the reference images and features to compute the desired heading angle and height during path following. The type of feature is Speeded-Up Robust Features (SURF). The tracking feature method between images is performed by matching SURF feature's descriptors. The Quadrotor is able to independently perform path following in indoor environment without the support of an external tracking system. Simulation is conducted on robot Operating System (ROS) and Gazebo simulator. The application of the proposed method is visual-homing and visual-servoing in GPS-denied environment.

关键词： quadrotor aerial vehicle path following visual servoing speeded-up robust features visual teach and repeat

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1st International Symposium on Artificial Life and Intelligent Agents, ALIA 2014

1st International Symposium on Artificial Life and Intellige...

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1st International Symposium on Artificial Life and Intelligent Agents, ALIA 2014

ISBN: (纸本)9783319180830

The proceedings contain 13 papers. The special focus in this conference is on Learning, Evolution and Human Interaction. The topics include: Towards real-time behavioral evolution in video games;simulated road following using neuroevolution;enhancing active vision system categorization capability through uniform local binary patterns;learning in networked interactions;human robot-team interaction;an exploration on intuitive interfaces for robot control based on self organisation;adaptive training for aggression de-escalation;mobile GPGPU acceleration of embodied robot simulation;ashby’s mobile homeostat and multi-robot coverage.

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