2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)最新文献_第8页

A framework of fault detection algorithm for intelligent vehicle by using real experimental data 基于真实实验数据的智能汽车故障检测算法框架

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082877

N. Hashimoto, Ü. Özgüner, N. Sawant, M. Yokozuka, S. Kato, O. Matsumoto, S. Tsugawa

{"title":"A framework of fault detection algorithm for intelligent vehicle by using real experimental data","authors":"N. Hashimoto, Ü. Özgüner, N. Sawant, M. Yokozuka, S. Kato, O. Matsumoto, S. Tsugawa","doi":"10.1109/ITSC.2011.6082877","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082877","url":null,"abstract":"Automated vehicles have a possibility to contribute more capacity, safety, low emission and high efficiency to transportation. However, unstable conditions of the automated system can cause serious problem, thus the automated vehicle requires high reliability. The objective of this research is to develop algorithms of fault (unstable condition) detection for automated vehicles, and to improve the overall reliability of the system. In this study, we initially solved and updated identification of some pattern of data constellations under normal and unstable conditions through the experiments in a real world. The multiple experiments were done in the public area (course distance is about 1.1[km]) with some times, where some pedestrian, bicycles and other robots coexisted. The method of detecting faults utilizes mahalanobis distance, correlation coefficient and linearization in order to improve the reliability of detecting the faults correctly, because real experimental conditions include some random noises, and the method must be robust for the changing conditions. The feature of this study is to utilize the experiment results in real world, construct the algorithms and evaluate it. The simulations were done with the real experimental data, in order to evaluate it. The simulation result shows that the proposed system detects faults correctly, and it proves the validity of the proposed method proved.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116205835","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

A novel approach based on a distributed dynamic graph modeling set up over a subdivision process to deal with distributed optimized real time carpooling requests 提出了一种基于细分过程的分布式动态图建模方法来处理分布式优化的实时拼车请求

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082983

M. Sghaier, H. Zgaya, S. Hammadi, C. Tahon

引用次数: 12

A study of driving assistance system based on a fusion network of inter-vehicle communication and in-vehicle external sensors 基于车际通信与车载外部传感器融合网络的驾驶辅助系统研究

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082942

Y. Takatori, H. Yashima

{"title":"A study of driving assistance system based on a fusion network of inter-vehicle communication and in-vehicle external sensors","authors":"Y. Takatori, H. Yashima","doi":"10.1109/ITSC.2011.6082942","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082942","url":null,"abstract":"This paper describes the evaluation on the safety performance of a driving assistance system based on a fusion network of inter-vehicle communication and in-vehicle external sensors in which the other vehicles' running information acquired by in-vehicle external sensors and own running information acquired by internal-sensors. The safety performance is evaluated by microscopic traffic simulator in a mixed environment of the three types vehicles(system equipped vehicle with communication and sensor devices, system equipped vehicle with only communication devices, and vehicle without driving assistance system). The result of simulation indicates that when the half of vehicle which has communication function equips an external sensing function, the safety performance of the driving assistance system in the fusion network of inter-vehicle communication and in-vehicle external sensors rises up than that in the conventional inter-vehicle network which only shares the in-vehicle running information. Especially, it greatly improves the safety of the vehicle with only communications equipment.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116423603","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: 11

Selective solution pool pruning in multi-agent optimization systems for the transit route network design problem 多智能体优化系统中公交线路网络设计问题的选择性解池修剪

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6083127

J. Blum, Scott E. Edsell

引用次数: 2

Micro-simulation study on capacity of roundabout 环形交叉口通行能力微观模拟研究

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082918

Haorui Li, Jiabin Li, Zhuo Yang, Jiawei Wu, Xu-mei Chen

引用次数: 8

Energy saving for automatic train control in moving block signaling system 移动闭塞信号系统中列车自动控制的节能技术

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082964

Q. Gu, Xiaobo Lu, T. Tang

引用次数: 36

An emergency evasive maneuver algorithm for vehicles 车辆紧急规避机动算法

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6083131

D. Soudbakhsh, A. Eskandarian, J. Moreau

引用次数: 22

Sample size analysis of GPS probe vehicles for urban traffic state estimation 用于城市交通状态估计的GPS探测车样本容量分析

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082829

Qiankun Zhao, Qingjie Kong, Yingjie Xia, Yuncai Liu

引用次数: 20

Multiobjective and multimodal adaptive traffic light control on single junctions 单路口多目标多模式自适应交通灯控制

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082977

Yann Dujardin, F. Boillot, D. Vanderpooten, Pierre Vinant

引用次数: 30

Evaluation of Boosting-SVM and SRM-SVM cascade classifiers in laser and vision-based pedestrian detection Boosting-SVM和SRM-SVM级联分类器在激光和视觉行人检测中的评价

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2011-11-18 DOI: 10.1109/ITSC.2011.6082909

Oswaldo Ludwig, C. Premebida, U. Nunes, R. Araújo

{"title":"Evaluation of Boosting-SVM and SRM-SVM cascade classifiers in laser and vision-based pedestrian detection","authors":"Oswaldo Ludwig, C. Premebida, U. Nunes, R. Araújo","doi":"10.1109/ITSC.2011.6082909","DOIUrl":"https://doi.org/10.1109/ITSC.2011.6082909","url":null,"abstract":"Pedestrian detection systems constitute an important field of research and development in computer vision, specially when applied in protection/safety systems in urban scenarios due to their direct impact in the society, specifically in terms of traffic casualties. In order to face such challenge, this work exploits some developments on statistical machine learning theory, in particular structural risk minimization (SRM) in a cascade ensemble. Namely, the ensemble applies the principle of SRM on a set of linear support vector machines (SVM). The linear SVM complexity, in the Vapnik sense, is controlled by choosing the dimension of the feature space in each cascade stage. To support experimental analysis, a multi-sensor dataset constituted by data from a LIDAR, a monocular camera, an IMU, encoder and a DGPS is introduced in this paper. The dataset, named Laser and Image Pedestrian Detection (LIPD) dataset, was collected in an urban environment, at day light conditions, using an electrical vehicle driven at low speed. Labeled pedestrians and non-pedestrians samples are also available for benchmarking purpose. The cascade of SVMs, trained with image-based features (HOG and COV descriptors), is used to detect pedestrian evidences on regions of interest (ROI) generated by a LIDAR-based processing system. Finally, the paper presents experimental results comparing the performance of a Boosting-SVM cascade and the proposed SRM-SVM cascade classifiers, in terms of detection errors.","PeriodicalId":186596,"journal":{"name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121418969","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