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检索条件"任意字段=4th Canadian Conference on Computer and Robot Vision"

共 474 条记录，以下是261-270 订阅

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CRV 2018 Award Winners [4 awards]

CRV 2018 Award Winners [4 awards]

引用

canadian conference on computer and robot vision, CRV

the award winners and the titles of their award winning papers are listed.

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Proceedings - 2018 International conference on Control, Electronics, Renewable Energy and Communications, ICCEREC 2018

Proceedings - 2018 International Conference on Control, Elec...

引用

4th International conference on Control, Electronics, Renewable Energy and Communications, ICCEREC 2018

ISBN: (纸本)9781728119939

the proceedings contain 43 papers. the topics discussed include: design of computer vision based ball detection system on wheeled robot soccer;design and realization of linear array triangular patch microstrip antenna for digital television;improving the reliability of RPM measurement of UAV propeller using outliers removal technique: a practical method to detect and substitute the outliers in the RPM measurement;integrating forest fire detection with wireless sensor network based on long range radio;sentiment analysis on user satisfaction level of cellular data service using the K-nearest neighbor (K-NN) algorithm;automatic energy extraction methods for EEG channel selection;performance improvement on 64-QAM multicarrier with closed-loop rotate modulation;and remote access weather monitoring system based on soft real-time system (SRTS).

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Design and Research of Visual Pipeline robot Based on Wi-Fi

Design and Research of Visual Pipeline Robot Based on Wi-Fi

引用

IEEE Information Technology and Mechatronics Engineering conference (ITOEC)

作者： Yingsong Chen Zhouping Cui Huijie Zhang Lihong Wu Chengdu Technological University Chengdu Sichuan China

ISBN: (纸本)9781538653746

A vision-based pipeline robot is studied in this paper, and a strategy of vision navigation is proposed. the key technologies such as anomaly determination of pipeline inner wall, curve identifying and multi-sensor fusion are investigated. the movement of pipeline robot is controlled by robot vision, at the same time Kalman filters are expanded to fuse measurements of multi-sensors to identify the robot in the environment of straight pipe, elbow pipe and T-tube, so as to realize the navigation and positioning of the robot in the pipe. the TCP/IP is used to provide the Socket programming interface to realize remote information exchange for the pipeline robot, and realize the data communication between the host computer and the router. According to standard experimental detecting on pipeline section, the method can meet the detecting requirements.

关键词： Pipelines robot kinematics robot sensing systems Sensor phenomena and characterization Visualization

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Self-localization of Unmanned Aerial Vehicles Based on Optical Flow in Onboard Camera Images 4th

Self-localization of Unmanned Aerial Vehicles Based on Optic...

引用

4th International conference on Modelling and Simulation for Autonomous Systems (MESAS)

作者： Walter, Viktor Novak, Tomas Saska, Martin Czech Tech Univ Fac Elect Engn Dept Cybernet Multirobot Syst Karlovo Namesti 13 Prague 12135 2 Czech Republic

ISBN: (纸本)9783319760728;9783319760711

this paper proposes and evaluates the implementation of a self-localization system intended for use in Unmanned Aerial Vehicles (UAVs). Accurate localization is necessary for UAVs for efficient stabilization, navigation and collision avoidance. Conventionally, this requirement is fulfilled using external hardware infrastructure, such as Global Navigation Satellite System (GNSS) or camera-based motion capture system (VICON-like [37]). these approaches are, however, not applicable in environments where deployment of cumbersome motion capture equipment is not feasible, as well as in GNSS-denied environments. Systems based on Simultaneous Localization and Mapping (SLAM) require heavy and expensive onboard equipment and high amounts of data transmissions for sharing maps between UAVs. Availability of a system without these drawbacks is crucial for deployment of tight formations of multiple fully autonomous micro UAVs for both outdoor and indoor missions. the project was inspired by the often used sensor PX4FLOW Smart Camera [12]. the aim was to develop a similar sensor, but without the multiple drawbacks observed in its use, as well as to make the operation of it more transparent and to make it independent of a specific hardware. Our proposed solution requires only a lightweight camera and a single-point range sensor. It is based on optical flow estimation from consecutive images obtained from downward-facing camera, coupled with a specialized RANSAC-inspired post-processing method that takes into account flight dynamics. this filtering makes it more robust against imperfect lighting, homogenous ground patches, random close objects and spurious errors. these features make this approach suitable even for coordinated flights through demanding forest-like environment. the system is designed mainly for horizontal velocity estimation, but specialized modifications were also made for vertical speed and yaw rotation rate estimation. these methods were tested in a simulator and

关键词： UAV Localization Velocity sensors Rotation sensors Optical flow computer vision

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vision based Distance Measurement System using Two-dimensional Barcode for Mobile robot 4

Vision based Distance Measurement System using Two-dimension...

引用

4th International conference on computer Applications and Information Processing Technology (CAIPT)

作者： Beck, Jong Hwan Kim, Sang Hoon Hankyong Natl Univ Dept Elect Elect & Control Engn CVLab Anseong Gyeonggi Do South Korea

ISBN: (纸本)9781538606001

In future world, mobile robots for home services are expected to solve productivity problem. Especially, vision based mobile robots will be able to perform many tasks due to their characteristics of using camera. In this regard, landmark detection methods using a camera have been used in many robots because it is easy to measure the position. In this paper, we propose a distance measurement system by detecting two-dimensional barcode which can be used landmark for unmanned ground robot. In experiments, the position of the camera is expressed as (x, y) through the 2D barcode recognition in the 4 *4 grid map.

关键词： mobile robot localization barcode detection landmark QR code

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4-DoF Tracking for robot Fine Manipulation Tasks 14

4-DoF Tracking for Robot Fine Manipulation Tasks

引用

14th conference on computer and robot vision (CRV)

作者： Siam, Mennatullah Singh, Abhineet Perez, Camilo Jagersand, Martin Univ Alberta Fac Comp Sci Edmonton AB Canada

ISBN: (纸本)9781538628188

this paper presents two visual trackers from the different paradigms of learning and registration based tracking and evaluates their application in image based visual servoing. they can track object motion with four degrees of freedom (DoF) which, as we will show here, is sufficient for many fine manipulation tasks. One of these trackers is a newly developed learning based tracker that relies on learning discriminative correlation filters while the other is a refinement of a recent 8 DoF RANSAC based tracker adapted with a new appearance model for tracking 4 DoF motion. Both trackers are shown to provide superior performance to several state of the art trackers on an existing dataset for manipulation tasks. Further, a new dataset with challenging sequences for fine manipulation tasks captured from robot mounted eye-in-hand (EIH) cameras is also presented. these sequences have a variety of challenges encountered during real tasks including jittery camera movement, motion blur, drastic scale changes and partial occlusions. Quantitative and qualitative results on these sequences are used to show that these two trackers are robust to failures while providing high precision that makes them suitable for such fine manipulation tasks.

关键词： visual tracking visual servoing robot manipulation

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Depth Camera based Autonomous Mobile robot for Indoor Environments

Depth Camera based Autonomous Mobile Robot for Indoor Enviro...

引用

International conference for Convergence of Technology (I2CT)

作者： Akshay Krishnan Sowrabh Nayak Anup Rao U. Sudarshan Patilkulkarni Sri Jayachamarajendra College of Engineering Mysuru India

ISBN: (数字)9781538652329

ISBN: (纸本)9781538652336

As a consequence of the recent developments in the fields of Artificial Intelligence, computer vision and advancements in the processing capabilities of embedded processors, robots are gaining widespread acceptance for applications in indoor environments. the basic requirements of a robot that is meant for interior applications include the ability to localize itself in the environment and navigate through it. While localization using specific markers has its advantages, a more generic solution would involve the use of a 2D map and adequate algorithms to navigate the area using this map. this paper proposes a design for an autonomous robot that can achieve the basic requirements of navigation in a static environment using low-cost 3D cameras like Kinect. the designed robot uses particle filters to localize in a 2D map. Once localized, it uses A* algorithm for global path planning. Once a path is available, feedback from odometry is used by a PID controller to achieve motion control.

关键词： Navigation Cameras robot vision systems Mobile robots Indoor environments

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the Basic Components of the computer Intelligence for Adept Six-300 robot 4

The Basic Components of the Computer Intelligence for Adept ...

引用

4th International conference on Systems and Informatics (ICSAI)

作者： Szkodny, Tadeusz Silesian Tech Univ Fac Automat Control Elect & Comp Sci Akad 16 St PL-44100 Gliwice Poland

ISBN: (纸本)9781538611074

the program Tobject planning the movement of the Adept Six-300 robot is presented in this work. Location of the manipulation object, observed by the two cameras Edimax IC-7100P, is calculated by this program. the program is one of the most important components of the computer intelligence of this robot. the method of determining the geometric parameters occurring in the equations of the kinematics of the gripper and manipulation object was presented. the program Tobject geometric calibrates of cameras using an algorithm that does not rely on the calculation of the projection matrix or the fundamental matrix. therefore, these algorithms are faster and more accurate than the algorithms that use the projection matrix and the fundamental matrix. On the basis images of the manipulation object, obtained by these two cameras, the program Tobject calculates the trajectory of the gripper movement to this object. In discretization point of the trajectory this program calculates coordinates the joint variables of the manipulator. In the calculations, multiple solutions of inverse kinematics are taken into account, including solutions in singular configurations. Among these the multiple solutions is a chosen solution minimizing the square indicator of quality. the program Tobject is installed in the server that cooperates with robot controller and cameras, by Ethernet net.

关键词： Intelligent robots robot vision systems robots

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Manifold Learning of Overcomplete Feature Spaces in a Multimodal Biometric Recognition System of Iris and Palmprint 14

Manifold Learning of Overcomplete Feature Spaces in a Multim...

引用

14th conference on computer and robot vision (CRV)

作者： Naderi, Habibeh Soleimani, Behrouz Haji Matwin, Stan Dalhousie Univ Fac Comp Sci Halifax NS B3H 4R2 Canada

ISBN: (纸本)9781538628188

this paper presents a bimodal biometric recognition system based on iris and palmprint. Different wavelet-based filters including log Gabor, Discrete Cosine Transform (DCT), Walsh and Haar are used to extract features from images. then we fuse iris and palmprint at the feature level by concatenating the feature vectors from two modalities. Since wavelet transforms generate huge number of features, a dimensionality reduction step is necessary to make the classification and matching steps tractable and computationally feasible. In this paper, two well-known dimensionality reduction algorithms including Laplacian eigenmaps and Singular Value Decomposition (SVD) are used to reduce the size of feature space. Applying these dimensionality reduction methods not only decreases the computational cost of matching remarkably but also it improves the accuracy of recognition by reducing the unnecessary model complexity. Eventually multiple classification techniques are used in the transformed feature spaces for the final matching and recognition. CASIA datasets for iris and palmprint are used in this study. the experiments show the effectiveness of our feature level fusion method and also the dimensionality reduction methods we used. Based on our experiments, our multimodal biometric system always outperforms the unimodal recognition systems with higher accuracy. Moreover, an appropriate dimensionality reduction algorithm always helps to improve the accuracy of classifier. Finally, the log Gabor filter extracts the most discriminative features from images compared to other wavelet transforms.

关键词： Feature extraction Iris recognition Dimensionality reduction Wavelet transforms Laplace equations

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Development of Motion Management System for the robot Soccer Using Multiple Humanoid robots 4th

Development of Motion Management System for the Robot Soccer...

引用

4th International conference on robot Intelligence Technology and Applications (RiTA)

作者： Lee, Jae-Man Chun, Hye-Yeun Dilmurod, Yusupov Ko, Keong-Seok Kang, Tae-Koo Sangmyung Univ Dept Informat & Commun Engn Cheonan Si 330720 Chungcheongnam South Korea

ISBN: (纸本)9783319312934;9783319312910

We address the motion management system to apply it to the robot soccer game. the soccer system has a vision system, a host computer which manages the strategies and position control of the soccer robots, and a communication system between a host computer and three soccer robots. the player robots can take 32 motions according to the game situation. To avoid the obstacles such as the opponent player robots, we proposed the novel motion control method which consists of CM and PL-AMS. the CM decides the avoid direction considering the position and size of the obstacles. PL-AMS selects the appropriate avoidance motion by the fuzzy logic. In addition, we have the strategy for the game situation such as the offense and defense by using the seven subregion divisions. Moreover, to prevent the ping-pong effect, we provided the buffer region between subregions.

关键词： Anthropomorphic robots

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