自主智能系统(英文)最新文献_第10页

Optic disc and fovea detection via multi-scale matched filters and a vessels' directional matched filter 通过多尺度匹配滤波器和血管方向匹配滤波器检测视盘和中央凹

自主智能系统(英文) Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547050

Bob Zhang, F. Karray

{"title":"Optic disc and fovea detection via multi-scale matched filters and a vessels' directional matched filter","authors":"Bob Zhang, F. Karray","doi":"10.1109/AIS.2010.5547050","DOIUrl":"https://doi.org/10.1109/AIS.2010.5547050","url":null,"abstract":"The optic disc (OD) and fovea are important anatomical features in retinal images. Its detections are crucial for developing an automated screening program. This paper proposes a method to automatically detect the OD and fovea in fundus images in three stages: OD vessel candidate detection, OD vessel candidate matching, and fovea detection. The first stage is achieved with multi-scale Gaussian filtering, scale production, and double thresholding to initially extract the vessels' directional map. The map is then thinned before another threshold is applied to remove pixels with low intensities. This result forms the OD vessel candidates. In the second stage, a Vessels' Directional Matched Filter (VDMF) of various dimensions is applied to the candidates to be matched, and the pixel with the smallest difference designated the OD center. Finally, the fovea is detected as the pixel with lowest intensity in a window either to the left or right of the OD center. We tested the proposed method on a subset of a new database consisting of 139 images from a diabetic retinopathy (DR) screening programme. The OD center and fovea were successfully detected with accuracies of 96.4% (134/139) and 98.1% (105/107) respectively.","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80338816","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: 16

Environment mapping using probabilistic quadtree for the guidance and control of autonomous mobile robots 基于概率四叉树的自主移动机器人导引与控制环境映射

自主智能系统(英文) Pub Date : 2010-06-21 DOI: 10.2316/Journal.201.2011.4.201-2292

C. Cocaud, A. Jnifene

引用次数: 10

Automated epileptic seizure onset detection 自动癫痫发作检测

自主智能系统(英文) Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547053

Arvind Dorai, K. Ponnambalam

{"title":"Automated epileptic seizure onset detection","authors":"Arvind Dorai, K. Ponnambalam","doi":"10.1109/AIS.2010.5547053","DOIUrl":"https://doi.org/10.1109/AIS.2010.5547053","url":null,"abstract":"Epilepsy is a serious neurological disorder characterized by recurrent unprovoked seizures due to abnormal or excessive neuronal activity in the brain. An estimated 50 million people around the world suffer from this condition, and it is classified as the second most serious neurological disease known to humanity, after stroke. With early and accurate detection of seizures, doctors can gain valuable time to administer medications and other such anti-seizure countermeasures to help reduce the damaging effects of this crippling disorder. The time-varying dynamics and high inter-individual variability make early prediction of the seizure state a challenging task. Many studies have shown that EEG signals do have valuable information that, if correctly analyzed, could help in the prediction of seizures in epileptic patients before their occurrence. Several mathematical transforms have been analyzed for its correlation with seizure onset prediction, and a series of experiments were done to certify their strengths. New algorithms are presented to help clarify, monitor, and cross-validate the classification of EEG signals to predict the ictal (i.e. seizure) states, specifically the preictal, interictal, and postictal states in the brain. These new methods show promising results in detecting the presence of a preictal phase prior to the ictal state.","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78818378","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: 25

A dynamic programming approach for the control of autonomous vehicles on planar motion 自主车辆平面运动控制的动态规划方法

自主智能系统(英文) Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547033

J. Silva, J. Sousa

{"title":"A dynamic programming approach for the control of autonomous vehicles on planar motion","authors":"J. Silva, J. Sousa","doi":"10.1109/AIS.2010.5547033","DOIUrl":"https://doi.org/10.1109/AIS.2010.5547033","url":null,"abstract":"The problem of path following for autonomous vehicles under adversarial behavior is considered. The objective is to keep the cross-track error to the reference path inside a given tolerance interval. The adversarial behavior models system uncertainty and unknown or poorly estimated bounded disturbances. The first step to that objective is the computation of an invariant set, namely the maximal set of states that the vehicle may enter while ensuring that the cross-track error will never exceed the tolerance interval. This is done through dynamic programming. Two modes of operation are then considered: when the vehicle is inside the invariant set, the objective is to stay inside it while minimizing a combination of the actuation effort and cross-track error; otherwise, the objective becomes to reach the invariant set in minimum time. Each mode corresponds to a different optimal control problem which is dealt independently; thus, each mode has a corresponding control law. We discuss efficient ways of computing and implementing those control laws on currently available computational systems. For the purpose of the dynamic programming approach, the autonomous vehicles are modeled as an unicycle. Simulations with a six degree of freedom nonlinear model of an autonomous submarine are performed in order to illustrate the robustness of the control strategy.","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87053248","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

Refractive error detection via group sparse representation 基于群稀疏表示的屈光误差检测

自主智能系统(英文) Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547046

Qin Li, Jinghua Wang, J. You, Bob Zhang, F. Karray

引用次数: 3

Nonlinear state estimation using interval computation in PMSM state observer simulation PMSM状态观测器仿真中基于区间计算的非线性状态估计

自主智能系统(英文) Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547030

P. Zbranek, L. Veselý

引用次数: 11

Towards generalized performance metrics for human-robot interaction 面向人机交互的广义性能指标

自主智能系统(英文) Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547049

Jamil Abou Saleh, F. Karray

{"title":"Towards generalized performance metrics for human-robot interaction","authors":"Jamil Abou Saleh, F. Karray","doi":"10.1109/AIS.2010.5547049","DOIUrl":"https://doi.org/10.1109/AIS.2010.5547049","url":null,"abstract":"In order for cognitive robots to act adequately and safely in real world, they must be able to perceive and have abilities of reasoning up to a certain level. Toward this end, performance evaluation metrics are used as important measures to achieve these goals. This paper intends to be a further step towards identifying common metrics for task-oriented human-robot interaction. We believe that within the context of human-robot interaction systems, both human and robot independent actions and joint interactions can significantly affect the quality of the accomplished task, thus proposing a generic performance metric to assess the performance of the human-robot team. Toward the efficient modelling of such metric, we also propose a fuzzy temporal model to evaluate the human trust in automation while interacting with robots and machines to complete some tasks. Trust modelling is critical as it directly influences the interaction time that should be directly and indirectly dedicated toward interacting with the robot. Another fuzzy temporal-based model is also presented to evaluate the human reliability during interaction time, as many research studies state that a large percentage of system failures are due almost equally to humans and machines, and therefore, assessing this important factor in human-robot interaction systems is also crucial. The proposed framework is based on the most recent work in the area of cognitive human-machine interaction and performance evaluation.","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88732555","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: 27

Applying anti-flocking model in mobile surveillance systems 反群集模型在移动监控系统中的应用

自主智能系统(英文) Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547036

Yun-Qian Miao, A. Khamis, M. Kamel

引用次数: 31

Modeling control situations in power system operations 电力系统运行控制情景建模

自主智能系统(英文) Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547034

A. Saleem, M. Lind, S. N. Singh

引用次数: 1

Cooperation in distributed surveillance 分布式监控合作

自主智能系统(英文) Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547043

A. Benaskeur, A. Khamis, H. Irandoust

引用次数: 3