{"title":"Vehicle type classification from visual-based dimension estimation","authors":"A. Lai, Gsk Fung, N. Yung","doi":"10.1109/ITSC.2001.948656","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948656","url":null,"abstract":"This paper presents a visual-based dimension estimation method for vehicle type classification. Our method extracts moving vehicles from traffic image sequences and fits them with a simple deformable vehicle model. Using a set of coordination mapping functions derived from a calibrated camera model and relying on a shadow removal method, vehicle's width, length and height are estimated. Our experimental tests show that the modeling method is effective and the estimation accuracy is sufficient for general vehicle type classification.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120949460","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":"Next generation tracking and tracing - a new integrated approach","authors":"K. Jakobs, R. Williams, I. Graham, A. Lloyd","doi":"10.1109/ITSC.2001.948728","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948728","url":null,"abstract":"The paper presents both the technical and socio-economic issues that arise from the design of an open, multimodal end-to-end tracking and tracing system. A brief overview of the general technical design choices is followed by a discussion of the associated socio-economic aspects, including the business context, which is heavily influenced by an electronic commerce environment and user requirements.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127480820","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":"Formulation of a new methodology to identify erroneous paired loop detectors","authors":"J. Ametha, S. Turner, S. Darbha","doi":"10.1109/ITSC.2001.948726","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948726","url":null,"abstract":"A new algorithm was developed for screening data from paired inductive traffic loop detectors. The algorithm estimates the effective vehicle length for each vehicle that passes the paired loop detectors and computes the average vehicle length for a fixed set of vehicles, the size of the set depending upon the vehicle volume flow. Error detection is done in two steps: 1) to calibrate the effective average vehicle length range for a detector; and 2) to compare this to the effective average vehicle length computation online.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130369645","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":"Automatic path tracking control of vehicles based on Lyapunov approach","authors":"J.R. Zhang, S.J. Xu, A. Rachid","doi":"10.1109/ITSC.2001.948685","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948685","url":null,"abstract":"This paper studies the controller design for automatic steering of vehicles to track the desired path. The coupled nonlinear model is considered. A suitable transformation is applied to deal with the nonlinearities. Here, no assumption of small angle is used and no nonlinearly coupling term of the model is ignored. A controller based on Lyapunov approach is derived to handle this complex system. Simulation results show that the designed controller is effective.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"23 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132500919","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":"Range scan-based localization methods for mobile robots in complex environments","authors":"R. Mázl, Miroslav Kulich, L. Preucil","doi":"10.1109/ITSC.2001.948669","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948669","url":null,"abstract":"The work introduces design and comparison of different-brand methods for position localization of indoor mobile robots. Both the methods derive the robot relative position from a structure of the working environment based on measurements gathered by a TOF-based laser ranging system. The first presented method applies statistical description of the scene while the other one relies on a feature-based matching approach. Both the approaches provide method-specific behavior, which has been recognized in experiments with real data. The obtained results are compared and further improvements of the localization robustness via their combination are discussed.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128018982","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}
H. Edelbrunner, U. Handmann, C. Igel, I. Leefken, W. von Seelen
{"title":"Application and optimization of neural field dynamics for driver assistance","authors":"H. Edelbrunner, U. Handmann, C. Igel, I. Leefken, W. von Seelen","doi":"10.1109/ITSC.2001.948674","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948674","url":null,"abstract":"Behavior planning of a vehicle in real-world traffic is a difficult problem. Complex systems have to be build to accomplish the projection of tasks, environmental constraints, and purposes of the driver to the dynamics of two controlled variables: steering angle and velocity. This paper comprises two parts. First, the behavior planning for the task of intelligent cruise control is proposed. The controlled variables are determined by evaluating the dynamics of two one-dimensional neural fields. The information concerning the actual situation and driver preferences is coupled additively into the field. Second, the parameters of the dynamics for the steering angle are adjusted by a state-of-the-art evolution strategy in order to achieve a smooth, comfortable trajectory. The behavior of the vehicle is successfully controlled by the neural field dynamics in the testbed of a simulation environment.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116909719","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":"Shortest paths in randomly time varying networks","authors":"R. Cerulli, P. Festa, G. Raiconi","doi":"10.1109/ITSC.2001.948772","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948772","url":null,"abstract":"A dynamic single-source single-destination shortest path problem on a directed graph is considered. The edge lengths are not constant, but they change as a function of time in a random way. The problem is modeled as a multi-stage decision process and solved by using a re-optimization method that solves the /spl iota/.th stage using the results of the solution of the (/spl iota/-1).th one. An algorithm, called the dynamical shortest path algorithm, is proposed for solving the global problem either finding a solution or detecting that the problem is infeasible and an upper bound on its running time is found. Numerical examples are reported in order to show the effectiveness of the method.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115312265","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":"TUC and the SMART NETS project","authors":"C. Bielefeldt, C. Diakaki, M. Papageorgiou","doi":"10.1109/ITSC.2001.948629","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948629","url":null,"abstract":"The new-generation, network-wide signal control strategy TUC (traffic-responsive urban control) has been first developed within the European Transport Telematics project TABASCO and later been improved and validated with further simulations. TUC is particularly designed for saturated traffic conditions, where other UTC systems are known to fail or perform poorly. TUC formulates a linear-quadratic optimal control problem based on store-and-forward mathematical modelling. Initial results from a small-scale field-application in Glasgow (Scotland) and the simulations carried out were so encouraging that TUC is now going to be applied and demonstrated on a large scale in the cities of Chania (Greece), Munich (Germany) and Southampton (UK) in the SMART NETS project, which is co-funded by the European Commission in the framework of their 5th Framework Programme of Research within the IST Programme.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128193164","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":"Insights on a stable route guidance model for real-time deployment","authors":"S. Peeta, Ta-Hui Yang","doi":"10.1109/ITSC.2001.948626","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948626","url":null,"abstract":"This paper explores the stability issues for a dynamical system based traffic assignment model for vehicular traffic networks equipped with advanced information systems and develops a real-time deployable solution algorithm. Experimental analysis suggests that the algorithm can efficiently provide real-time stable solutions while accounting for time-dependent variations in the system. The results are compared to those of the benchmark deterministic dynamic traffic assignment and the rolling horizon implementation based models.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"227 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124513520","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":"Nonlinear filter road vehicle model development","authors":"M. Wada, K. Yoon, H. Hashimoto","doi":"10.1109/ITSC.2001.948751","DOIUrl":"https://doi.org/10.1109/ITSC.2001.948751","url":null,"abstract":"This paper describes the first results of the investigation efforts performed in the development of the high-accuracy multisensor vehicle state estimation scheme. The use of UKF (Unscented Kalman Filter) in the state estimation scheme and vehicle model development framework is proposed. The first nonlinear vehicle model developed in this framework is also described. The model is able to cope with vehicle slip using multisensor data from inertial sensors, odometry, and the D-GPS. The simulation results indicated that the scheme is able to significantly reduce the errors in vehicle state estimates and is also able to perform real time internal sensors calibration.","PeriodicalId":173372,"journal":{"name":"ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123623761","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}