{"title":"An observer-based second order sliding mode vehicle control strategy","authors":"P. Pisu, A. Ferrara","doi":"10.1109/IVS.2000.898338","DOIUrl":"https://doi.org/10.1109/IVS.2000.898338","url":null,"abstract":"In this paper a variable structure control strategy for cruise and tracking control of vehicles is proposed. It is characterized by the generation of \"second order\" sliding regimes, i.e., sliding modes characterized by an identically null derivative of sliding variable. Due to the lack of measurements, the use of observer is suitably exploited in the paper. On the whole, in spite of its variable structure nature, the proposed strategy is designed so as to guarantee a bounded jerk and to avoid too frequent changes between the use of the accelerator and the brake. The control strategy is robust to parameters variations and uncertainties.","PeriodicalId":114981,"journal":{"name":"Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128320096","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}
{"title":"Real-time stereo vision for urban traffic scene understanding","authors":"Uwe Franke, A. Joos","doi":"10.1109/IVS.2000.898354","DOIUrl":"https://doi.org/10.1109/IVS.2000.898354","url":null,"abstract":"This paper presents a precise correlation-based stereo vision approach that allows real-time interpretation of traffic scenes and autonomous Stop&Go on a standard PC. The high speed is achieved by means of a multiresolution analysis. It delivers the stereo disparities with sub-pixel accuracy and allows precise distance estimates. Traffic applications using this method are described.","PeriodicalId":114981,"journal":{"name":"Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124480103","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}
{"title":"A survey of intelligent vehicle applications worldwide","authors":"R. Bishop","doi":"10.1109/IVS.2000.898313","DOIUrl":"https://doi.org/10.1109/IVS.2000.898313","url":null,"abstract":"The field of intelligent vehicles is rapidly growing worldwide, both in the diversity of applications and in increasing interest in the automotive, truck, public transport, industrial, and military sectors. These systems offer the potential for significant enhancements in safety and operational efficiency. As one component of ITS, intelligent vehicle (IV) systems use sensing and intelligent algorithms to understand the environment immediately around the vehicle, either assisting the driver in vehicle operations (driver assistance) or fully controlling the vehicle (automation). Following the success of information-oriented systems, IV systems can be seen as the \"next wave\" for ITS, functioning at the control layer to enable the driver-vehicle subsystem to operate more effectively in the highway environment. This article provides a broad overview of applications and selected activities in this field.","PeriodicalId":114981,"journal":{"name":"Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511)","volume":"47 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132478042","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}
{"title":"Emotionally controlled inter-agent communication","authors":"Luís Botelho, Pedro Ramos","doi":"10.1109/IVS.2000.898378","DOIUrl":"https://doi.org/10.1109/IVS.2000.898378","url":null,"abstract":"This paper explores adaptive roles of artificial emotions in inter-agent communication within an intelligent vehicle scenario. Artificial emotions are control processes that play, for artificial agents, the same adaptive roles natural emotions play for natural organisms. Artificial emotions may be useful even in drastically restricted environments in which there are only a small number of possible types of interactions. The paper shows that the preliminary theory of artificial emotions due to Botelho and Coelho may provide the means required for detecting interaction problems and signalling the need for an adaptive reaction. Finally the paper shows that the usual multiprocessing, signalling, and inter-process communication capabilities provided by operating systems are enough to build an agent with the kinds of artificial emotions discussed and analyses the implementation of a generic platform for building those agents.","PeriodicalId":114981,"journal":{"name":"Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116986278","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}
{"title":"A vision navigation algorithm based on linear lane model","authors":"Xu Youchun, Wang Rongben, Li-bing, Jiang Shouwen","doi":"10.1109/IVS.2000.898348","DOIUrl":"https://doi.org/10.1109/IVS.2000.898348","url":null,"abstract":"A model intelligent vehicle system (JUTIV-II) is introduced in the paper. The visual system has an omni-direction camera, which enables the view field to be changed with the speed of the vehicle, more information about the lane to be obtained and disturbances in the view field to be reduced. A linear lane model is applied to match the shape of the lane in the view field. A vision-based navigation algorithm-human imitating steering control algorithm-is proposed based on a linear lane model. An artificial neural transfer function is applied in the model to imitate the human driving. The model shows good results under a wide range of parameter input. The direction error angle ranges from -90/spl deg/ to +90/spl deg/ and the departure error distance ranges from -/spl infin/ to +/spl infin/. Experiment results are given in the paper.","PeriodicalId":114981,"journal":{"name":"Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127012271","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}
{"title":"Traffic-flow forecasting using a 3-stage model","authors":"S.C. Chang, R. Kim, S.J. Kim, M. Ahn","doi":"10.1109/IVS.2000.898384","DOIUrl":"https://doi.org/10.1109/IVS.2000.898384","url":null,"abstract":"During the past few years, various traffic-flow forecasting models, i.e. an ARIMA, an ANN, and so on, have been developed to predict more accurate traffic flow. However, these strategies rest on the assumption that the pattern that has been identified will continue into the future. So ARIMA or ANN models with its traditional architecture cannot be expected to give good predictions unless this assumption is valid. In this paper, we compared with an ANN model and ARIMA model and tried to combine an ARIMA model and ANN model for obtaining a better forecasting performance. In addition to combining two models, we also introduced judgmental adjustment technique that has an effect on correcting irregular and infrequent future events. Our approach can improve the forecasting power in traffic flow. To prove it, we have compared the performance of the models.","PeriodicalId":114981,"journal":{"name":"Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511)","volume":"71 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120833522","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}
{"title":"Enhancing the integrity of integrated GPS/INS systems by cycle slip detection and correction","authors":"C. Altmayer","doi":"10.1109/IVS.2000.898337","DOIUrl":"https://doi.org/10.1109/IVS.2000.898337","url":null,"abstract":"Satellite navigation systems are widely used for high accuracy applications. Before the carrier phase observable can be utilized as the most accurate ranging information its inherent integer cycle ambiguity must be resolved. The algorithms for ambiguity resolution and carrier phase positioning rely on the ambiguities being constant. However, high dynamics, shadowing or multipath may cause so-called cycle slips which would deteriorate the accuracy if remained undetected. A new method was developed using an integrated system consisting of an inertial measurement unit and a differential GPS (Global Positioning System) sensor. With this method the integrity of cycle slip free carrier phase information is greatly enhanced which was demonstrated in driving tests.","PeriodicalId":114981,"journal":{"name":"Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124324019","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}
{"title":"Cooperative driving of automated vehicles with inter-vehicle communications","authors":"T. Sakaguchi, A. Uno, S. Kato, S. Tsugawa","doi":"10.1109/IVS.2000.898397","DOIUrl":"https://doi.org/10.1109/IVS.2000.898397","url":null,"abstract":"This paper deals with cooperative driving of automated vehicles on highways with data transmission based on inter-vehicle communications. It presents a data transmission algorithm in a platoon for a unidirectional medium and an omni-directional one under both a steady state and a transient state. The algorithm features a larger throughput rate than the conventional system, when the number of vehicles in a platoon is less than 15. This paper also focuses on the merging issue, which is a typical case of cooperative driving, and presents a merging control algorithm that makes the best use of inter-vehicle communications. Results of the simulation study and indoor experiment show the feasibility of the algorithms of data transmission and merging control.","PeriodicalId":114981,"journal":{"name":"Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129755230","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}
{"title":"Vehicle fuel consumption and emission estimation in environment-adaptive driving with or without inter-vehicle communications","authors":"S. Widodo, T. Hasegawa, S. Tsugawa","doi":"10.1109/IVS.2000.898373","DOIUrl":"https://doi.org/10.1109/IVS.2000.898373","url":null,"abstract":"In this paper, the vehicle fuel consumption and emission rates of environment-adaptive driving with or without inter-vehicle communications are estimated using an autonomous running traffic flow simulator. In this study, a microscopic fuel consumption and emission model is used. Simulation results show that environment-adaptive driving can reduce both of the average fuel consumption and vehicle emission. It also shows that inter-vehicle communications can improve these impacts under high vehicle densities and long traffic light cycle times.","PeriodicalId":114981,"journal":{"name":"Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511)","volume":"49 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132767890","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}
{"title":"Vision-guided automatic parking for smart car","authors":"Jin Xu, Guang Chen, Ming Xie","doi":"10.1109/IVS.2000.898435","DOIUrl":"https://doi.org/10.1109/IVS.2000.898435","url":null,"abstract":"Presents our work on automatic parking of a smart car that relies on vision to estimate free parking slots. All problems involved in implementing an automatic parking behavior are discussed. Solutions are given together with experimental results obtained from real data.","PeriodicalId":114981,"journal":{"name":"Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511)","volume":"1999 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132482551","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}