2006 9th International Conference on Control, Automation, Robotics and Vision最新文献_第8页

SmartC: A Component-Based Hierarchical Modeling Language for Automotive Electronics 基于组件的汽车电子分层建模语言

2006 9th International Conference on Control, Automation, Robotics and Vision Pub Date : 2006-12-01 DOI: 10.1109/ICARCV.2006.345212

Guoqing Yang, Minde Zhao, Hong Li, Zhaohui Wu

{"title":"SmartC: A Component-Based Hierarchical Modeling Language for Automotive Electronics","authors":"Guoqing Yang, Minde Zhao, Hong Li, Zhaohui Wu","doi":"10.1109/ICARCV.2006.345212","DOIUrl":"https://doi.org/10.1109/ICARCV.2006.345212","url":null,"abstract":"This paper introduces SmartC, a language designed for programming automotive electronics embedded systems such as engine control systems. SmartC is a hierarchical modeling language and implements the SmartOSEK operating system model. The SmartC models are classified into four levels, namely module level, task level, subtask level and component level. In the SmartC models, control-flow oriented models and data-flow oriented models are integrated in the hybrid SmartC models. At the task level, the model is constructed based on the control flow, whereas the component level model is constructed based on the data flow. In SmartC programs, all inter-task communication, task triggering mechanisms, and access to guarded global variables, are automatically generated by the SmartC generator which generates the C code from the SmartC code. Having well-structured concurrency mechanisms, SmartC greatly reduces the risk of concurrency errors, such as deadlock and race conditions. The SmartC language is implemented on the automated manual transmission (AMT) control system and is compatible with the OSEK/VDX specifications. We use a continuous time (CT) model as an example to illustrate the effectiveness of the language","PeriodicalId":415827,"journal":{"name":"2006 9th International Conference on Control, Automation, Robotics and Vision","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129890042","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

Hough-Domain Image Registration By Metaheuristics 基于元启发式的高域图像配准

2006 9th International Conference on Control, Automation, Robotics and Vision Pub Date : 2006-12-01 DOI: 10.1109/ICARCV.2006.345298

Shubin Zhao

{"title":"Hough-Domain Image Registration By Metaheuristics","authors":"Shubin Zhao","doi":"10.1109/ICARCV.2006.345298","DOIUrl":"https://doi.org/10.1109/ICARCV.2006.345298","url":null,"abstract":"Image registration is the process of registering two or more images, which may be acquired under different imaging conditions. The critical issues in image registration are robustness and speed of the algorithm, which most current algorithms are devoted to. In this paper, a robust and efficient algorithm is presented for registering images in Hough space using heuristic approaches. By Hough transform, the main structure of an image can be represented in the position-orientation space. This representation has almost all structural information of the original images, especially for images rich with line segments. This representation allows us to register images efficiently in Hough space rather than in the original image space. To account for differences between the images to be registered, the generalized partial Hausdorff distance is proposed and used to measure the image similarity. In the presented algorithm, the rotation parameter is computed simply by 1D correlation, and other transformation parameters are determined by a new hypothesis-test method, where each hypothesis is generated by a heuristic approach, i.e. random local search. The proposed algorithm has very low computational complexity, and works well for most natural images rich with line segments resulting from man-made structures","PeriodicalId":415827,"journal":{"name":"2006 9th International Conference on Control, Automation, Robotics and Vision","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129891606","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: 4

Kinematics and Dynamics Analysis of a Planar Hybrid Five Bar Actuator 平面混合五杆作动器的运动学与动力学分析

2006 9th International Conference on Control, Automation, Robotics and Vision Pub Date : 2006-12-01 DOI: 10.1109/ICARCV.2006.345244

Ke Zhang, Tianmin Huang, Cuihong Wang

引用次数: 5

Self-position Estimation of Autonomous Mobile Robot with Size-variable Image Template 基于变尺寸图像模板的自主移动机器人自位置估计

2006 9th International Conference on Control, Automation, Robotics and Vision Pub Date : 2006-12-01 DOI: 10.1109/ICARCV.2006.345251

K. Doki, Naohiro Isetani, A. Torii, A. Ueda

{"title":"Self-position Estimation of Autonomous Mobile Robot with Size-variable Image Template","authors":"K. Doki, Naohiro Isetani, A. Torii, A. Ueda","doi":"10.1109/ICARCV.2006.345251","DOIUrl":"https://doi.org/10.1109/ICARCV.2006.345251","url":null,"abstract":"We propose a new image template generation method for the self-position estimation of an autonomous mobile robot. In the proposed method, an image template is generated with genetic algorithm. Then, in the process of the self-position estimation, the size of the image template can be varied in order to change the time for the self-position estimation according to the situation around the robot. Therefore, a suitable image template is searched by GA search as the size of the image is varied. The position of the robot is estimated by matching the input image at the current situation with the stored image templates which indicate certain positions. As a criterion of the template matching, the normalized correlation coefficient is applied. This method is sensitive to the position shift of the image. Therefore, in order to realize the robust self-position estimation for the position shift, the amount of the position shift between the image template and the input image is compensated before the template matching. The usefulness of the proposed method is shown through some experimental results","PeriodicalId":415827,"journal":{"name":"2006 9th International Conference on Control, Automation, Robotics and Vision","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129679351","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: 3

Implementation of Drug Delivery system for blood pressure regulation 血压调节药物输送系统的实施

2006 9th International Conference on Control, Automation, Robotics and Vision Pub Date : 2006-12-01 DOI: 10.1109/ICARCV.2006.345210

Jin Feng, Qu Bo, Z. Kuanyi

引用次数: 6

Robotic Pheromones: Using Temperature Modulation in Tin Oxide Gas Sensor to Differentiate Swarm's Behaviours 机器人信息素:利用氧化锡气体传感器的温度调制来区分蜂群的行为

2006 9th International Conference on Control, Automation, Robotics and Vision Pub Date : 2006-12-01 DOI: 10.1109/ICARCV.2006.345176

Anies Hannawati Purnamadjaja, R. Russell

引用次数: 13

Frequency Weighted Balanced Model Reduction: A Survey 频率加权平衡模型缩减:一项调查

2006 9th International Conference on Control, Automation, Robotics and Vision Pub Date : 2006-12-01 DOI: 10.1109/ICARCV.2006.345217

A. Ghafoor, V. Sreeram

引用次数: 10

Wall-Pasted Cell Segmentation Based on Gabor Filter with Parameter Constraint 基于参数约束Gabor滤波器的贴壁细胞分割

2006 9th International Conference on Control, Automation, Robotics and Vision Pub Date : 2006-12-01 DOI: 10.1109/ICARCV.2006.345410

Nongliang Sun, Saicong Xu, Maoyong Cao

引用次数: 3

3D Boundary Reconstruction of Mouse Brain Cells 小鼠脑细胞的三维边界重建

2006 9th International Conference on Control, Automation, Robotics and Vision Pub Date : 2006-12-01 DOI: 10.1109/ICARCV.2006.345482

Y. Guan, M. Opas, Y. T. Lee, Y. Cai

引用次数: 1

Two-Degree-of-Freedom Control of a Self-Sensing Micro-Actuator for HDD using Neural Networks 基于神经网络的硬盘自传感微驱动器二自由度控制

2006 9th International Conference on Control, Automation, Robotics and Vision Pub Date : 2006-12-01 DOI: 10.1109/ISIC.2007.4450902

M. Sasaki, K. Fujihara, H. Yamada, Y. Nam, S. Ito

引用次数: 7