2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol最新文献_第2页

Automatic Semantic Waypoint Mapping Applied to Autonomous Vehicles 自动驾驶汽车的自动语义路点映射

2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol Pub Date : 2014-10-18 DOI: 10.1109/SBR.LARS.ROBOCONTROL.2014.37

Matheus Zoccoler, P. Shinzato, A. Hata, D. Wolf

引用次数: 1

A Graph-Based Algorithm for Minimum Router Deployment 一种基于图的最小路由器部署算法

2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol Pub Date : 2014-10-18 DOI: 10.1109/SBR.LARS.ROBOCONTROL.2014.15

D. Macharet, Niander N. De Assis, Dan N. G. Do Valle, Elerson R. S. Santos, M. Vieira, M. Campos

{"title":"A Graph-Based Algorithm for Minimum Router Deployment","authors":"D. Macharet, Niander N. De Assis, Dan N. G. Do Valle, Elerson R. S. Santos, M. Vieira, M. Campos","doi":"10.1109/SBR.LARS.ROBOCONTROL.2014.15","DOIUrl":"https://doi.org/10.1109/SBR.LARS.ROBOCONTROL.2014.15","url":null,"abstract":"Recent advances in technology have led to robots with communication capability. These networked robots can provide a communication substrate by establishing a wireless network backbone. The wireless network is useful in many settings, such as urban search and rescue, fire fighting, military operations, and disaster response. Given a set of clients, such as fire-fighters, the network robots can establish a network backbone guaranteeing that all clients are connected. A fundamental problem is what is the minimal number of robots and where should they be placed to establish a network without any partition. In this work, we investigate the problem of calculating the position of the mobile networked robots so they can establish a communication backbone for a set of clients. We present a graph-based algorithm in order to calculate the position of the networked robots. The methodology was thoroughly evaluated through numerous trials considering different conditions, providing statistical examination of the final results. We compare our results with the Minimum Spanning Tree algorithm, which is useful as a standard algorithm for comparison. Our results show that our approach is correct and uses fewer robots.","PeriodicalId":264928,"journal":{"name":"2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124588144","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: 0

Lane Detection and Estimation using Perspective Image 基于透视图像的车道检测与估计

2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol Pub Date : 2014-10-18 DOI: 10.1109/SBR.LARS.ROBOCONTROL.2014.43

Marcos Paulo Batista, P. Shinzato, D. Wolf, Diego Gomes

引用次数: 15

Design and Simulation for Path Tracking Control of a Commercial Vehicle Using MPC 基于MPC的商用车路径跟踪控制设计与仿真

2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol Pub Date : 2014-10-18 DOI: 10.1109/SBR.LARS.ROBOCONTROL.2014.23

O. García, J. V. Ferreira, A. Miranda Neto

引用次数: 10

EOG Based Interface to Command a Powered Orthosis for Lower Limbs 基于EOG的界面命令下肢动力矫形器

2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol Pub Date : 2014-10-18 DOI: 10.1109/SBR.LARS.ROBOCONTROL.2014.52

Valber Cesar Cavalcanti Roza, M. V. De Araujo, P. Alsina, Efrain Pantaleón Matamoros

引用次数: 3

An Iterative Approach for Color Constancy 颜色恒常性的迭代方法

2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol Pub Date : 2014-10-18 DOI: 10.1109/SBR.LARS.ROBOCONTROL.2014.34

Josemar Simão, Hans Jorg Andreas Schneebeli, Raquel Frizera Vassallo

引用次数: 5

FVMS Software-in-the-Loop Flight Simulation Experiments: Guidance, Navigation and Control FVMS软件在环飞行仿真实验:制导、导航和控制

2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol Pub Date : 2014-10-18 DOI: 10.1109/SBR.LARS.ROBOCONTROL.2014.48

Rômulo T. Rodrigues, R. C. B. Sampaio, Antonio Pedro Aguiar, M. Becker

{"title":"FVMS Software-in-the-Loop Flight Simulation Experiments: Guidance, Navigation and Control","authors":"Rômulo T. Rodrigues, R. C. B. Sampaio, Antonio Pedro Aguiar, M. Becker","doi":"10.1109/SBR.LARS.ROBOCONTROL.2014.48","DOIUrl":"https://doi.org/10.1109/SBR.LARS.ROBOCONTROL.2014.48","url":null,"abstract":"This paper proposes a new and powerful methodology to the evaluation of guidance, navigation and control algorithms (GNC) in Software-in-the-Loop (SiL) flight simulation using Microsoft Flight Simulator (MSFS). The SiL was assisted by the Flight Variables Management System (FVMS), a Graphic User Interface (GUI) that fully interfaces communication between MSFS and general purpose custom GNC algorithms. The originality of this new approach is to make the FVMS communication layer completely transparent to the designer so that full attention may be focused exclusively on guidance algorithm development and the debugging process as well. Furthermore, the application may be extended to both multi-engine fixed and rotary wing aircraft. When it comes to the design, development and validation of brand new control algorithms of GNC for unmanned systems, SiL flight simulation becomes an exceedingly useful tool since end-product may misbehave in-flight. It impacts over avoiding hazard situation of crew and population in the ground and on preserving expensive equipment of being damaged. To illustrate FVMS capabilities and assets on GNC systems design, a nonlinear path following algorithm is set up. FVMS GNC module is endowed with a full map interface and a mission management through which one may build/rebuild the UAV path on-line. The results demonstrate the potential of the framework on the implementation of either simple or more complex solutions for the GNC problem.","PeriodicalId":264928,"journal":{"name":"2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133592608","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: 7

Pedestrian Classification Using K-means and Random Decision Forests 基于k均值和随机决策森林的行人分类

2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol Pub Date : 2014-10-18 DOI: 10.1109/SBR.LARS.ROBOCONTROL.2014.38

Francisco A. R. Alencar, Carlos Massera Filho, Diego Gomes da Silva, D. Wolf

{"title":"Pedestrian Classification Using K-means and Random Decision Forests","authors":"Francisco A. R. Alencar, Carlos Massera Filho, Diego Gomes da Silva, D. Wolf","doi":"10.1109/SBR.LARS.ROBOCONTROL.2014.38","DOIUrl":"https://doi.org/10.1109/SBR.LARS.ROBOCONTROL.2014.38","url":null,"abstract":"In field of autonomous and intelligent vehicles, the goal of pedestrian classification is to reduce amount of accidents. The object classification accuracy depends on the type of classifier and the extracted object features used for classification. Support Vector Machines (SVM), is considered the most effective classifier for this task. However, it depends on a number of factors that require researchers to perform several modifications to obtain a good result with adequate performance. This study presents a promising alternative with fewer parameters, which works on large datasets, and reduced runtime. It also has the advantage of allowing the data analysis between every step of the algorithm. Differently from SVM, which can be considered as a black box approach, our method uses a k-means cluster technique combined with a radial basis function to transform data into a smaller and more relevant set, where the classification is performed using random decision forest. Experimental results show very satisfactory classification, efficient computational performance, simplicity of use, and reduced setup.","PeriodicalId":264928,"journal":{"name":"2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131980987","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: 8

Automated Traffic Sign Recognition System Using Computer Vision and Support Vector Machines 基于计算机视觉和支持向量机的自动交通标志识别系统

2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol Pub Date : 2014-10-18 DOI: 10.1109/SBR.LARS.ROBOCONTROL.2014.27

J. Gomez, S. Bromberg

{"title":"Automated Traffic Sign Recognition System Using Computer Vision and Support Vector Machines","authors":"J. Gomez, S. Bromberg","doi":"10.1109/SBR.LARS.ROBOCONTROL.2014.27","DOIUrl":"https://doi.org/10.1109/SBR.LARS.ROBOCONTROL.2014.27","url":null,"abstract":"This paper describes the initial design of a computer vision application to recognize regulatory traffic signs vertically installed on Colombian roads using machine learning. This application is conceived as a module of a driver assistance system under development, and an autonomous vehicle adapted to the local infrastructure. The application was trained and tested with official synthetic images provided by the National Ministry of Transport. These images were modified with chromatic and geometric changes to emulate fluctuations in illumination, vantage point, and ageing. Resulting images were resized to 48 × 48 pixels, and the raw intensity planes in the Hue-Saturation-Intensity color model were reshaped to obtain feature vectors with 2304 attributes each. In total, forty seven binary classifiers were trained using Support Vector Machines under a one-versus-all classification scheme. These classifiers were directly combined into a multi-class classification system. This paper reports the methodology used to collect the data, configure, train, and measure the performance of classifiers working isolated and collectively.","PeriodicalId":264928,"journal":{"name":"2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134198268","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: 0

Gesture-Based Controllers to Guide a Quadrotor Using Kinect Sensor 基于手势的控制器引导使用Kinect传感器的四旋翼

2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol Pub Date : 2014-10-18 DOI: 10.1109/SBR.LARS.ROBOCONTROL.2014.28

Tiago Ogioni Costalonga, Lucas Mendes Avila, L. Muniz, A. Brandão

引用次数: 8