{"title":"Real time embedded sensor fusion for driver assistance","authors":"M. Tucker, A. Heenan, A. Buchanan","doi":"10.1109/ITSC.2005.1520115","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520115","url":null,"abstract":"This paper details the design and implementation of an embedded real-time system to fuse data from two 77 GHz radars, three 24 GHz radars and a video lane detection system fitted to a vehicle to track the movement of other vehicles in the local environment. The system demonstrates excellent tracking of vehicles as they pass through regions covered by single and multiple sensors as well as regions with no sensor coverage where tracking continues despite no new measurements. Such a system facilitates future driver assistance functions such as lane change support and blind spot detection.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117199176","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 reactive agent-based neural network car following model","authors":"Sakda Panwai, Hussein Dia","doi":"10.1109/ITSC.2005.1520069","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520069","url":null,"abstract":"This paper presents a car following model which was developed using reactive agent techniques based on a neural network approach for mapping perceptions to actions. The model has a similar formulation to the desired spacing models which do not consider reaction time or attempt to explain the behavioural aspects of car following. A number of error tests were used to compare the performance of the model against a number of established car following models. The results showed that simple back-propagation neural network models outperformed the Gipps and psychophysical family of car following models. A qualitative drift behaviour analysis also confirmed the findings. For microscopic validation, speed and position of individual vehicles computed from the model were compared to field data. Macroscopic validation involved comparison of the field data and model results for trajectories, average speed, density and volume. Model validation at the microscopic and macroscopic levels showed very close agreement between field data and model results.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"90 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120840439","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":"Target vehicle identification for border safety using mutual information","authors":"S. Kaza, Tao Wang, H. Gowda, Hsinchun Chen","doi":"10.1109/ITSC.2005.1520212","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520212","url":null,"abstract":"The security of border and transportation systems is a critical component of the national strategy for homeland security. The security concerns at the border are not independent of law enforcement in border-area jurisdictions because information known by local law enforcement agencies may provide valuable leads useful for securing the border and transportation infrastructure. The combined analysis of law enforcement information and data generated by vehicle license plate readers at the international borders can be used to identify suspicious vehicles at ports of entry. This not only generates better quality leads for border protection agents but may also serve to reduce wait times for commerce, vehicles, and people as they cross the border. In this paper we use the mutual information concept to identify vehicles that frequently cross the border with vehicles that are involved in criminal activity. We find that the mutual information measure can be used to identify vehicles that can be potentially targeted at the border.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121112502","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":"Auto-iris compensation for traffic surveillance systems","authors":"R. Cucchiara, R. Melli, A. Prati","doi":"10.1109/ITSC.2005.1520161","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520161","url":null,"abstract":"This paper addresses auto-iris compensation. Auto-iris can be really troublesome for motion detection and tracking techniques based on background or frame differencing, since it can change quickly the average intensity of the current frame. To cope with this, we introduced a two-step auto-iris compensation approach in our traffic monitoring system. First, the auto-iris detection is based on the computation of the average of the luminance difference obtained by background suppression. Then, if an auto-iris is detected, the compensation phase is started. In this phase, the auto-iris' behaviour is empirically modelled and, thus, compensated. Experimental results demonstrate the accuracy of the proposed approach, with both quantitative measures and visual analysis.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115585426","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":"The study on the effect of lane change maneuvers on a simplified car-following theory","authors":"Chao Wang, B. Coifman","doi":"10.1109/ITSC.2005.1520095","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520095","url":null,"abstract":"A recent paper by Newell proposed a simplified car-following theory based on a novel logic. The basic assumption for this theory is that spacing and vehicle velocity are linearly related. Several other researchers studying wave speeds through the traffic stream have since found empirical evidence supporting Newell's simplified car-following theory. However, these earlier efforts have not explicitly verified the aforementioned basic assumption and in fact they have found that Newell's theory fails in the presence of frequent lane change maneuvers without providing detailed analyses. Taking a different approach, our paper studies the spacing velocity relationship using vehicle trajectory data collected during congestion, upstream of an on-ramp, where lane changing is infrequent. The empirical results show that a lane change maneuver perturbs the linear spacing velocity relationship. However, despite the disturbances from lane change maneuvers, the assumption of the linear relationship between spacing and velocity is reasonable most of the time for the vehicles on the study segment.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130780841","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":"Usage of wireless LAN for inter-vehicle communication","authors":"Yvonne Günter, H. P. Großmann","doi":"10.1109/ITSC.2005.1520064","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520064","url":null,"abstract":"In recent years the number of vehicles has been increasing constantly on European roads. This higher traffic density makes new security features a crucial point in order to keep safe traffic. Inter-vehicle communication offers a lot of possibilities in this field, like collision warning or sensor fusion with sensors distributed in several vehicles. Transmitting such data between vehicles has strict requirements for the networking technology. On the one hand the communication system itself, which is built of vehicles and is so highly dynamic, requires a technology capable of handling the physical effects caused by the mobility of the communication partners. On the other hand the applications themselves can have strict constraints, especially regarding latency. Up to now, there is no special technology standardised for inter-vehicle communication, but because of its availability the wireless LAN according to the standard IEEE 802.11 is often seen as a possible solution. In this paper we present the behaviour of this technology in different driving situations focusing on the effects caused by the physical layer and the medium access layer.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131281339","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}
A. Avila, G. Korkmaz, Y. Liu, H. Teh, E. Ekici, F. Ozguner, U. Ozguner, K. Redmill, O. Takeshita, K. Tokuda, M. Hamaguchi, S. Nakabayashi, H. Tsutsui
{"title":"A complete simulator architecture for inter-vehicle communication intersection warning systems","authors":"A. Avila, G. Korkmaz, Y. Liu, H. Teh, E. Ekici, F. Ozguner, U. Ozguner, K. Redmill, O. Takeshita, K. Tokuda, M. Hamaguchi, S. Nakabayashi, H. Tsutsui","doi":"10.1109/ITSC.2005.1520092","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520092","url":null,"abstract":"This paper presents the complete simulator architecture of the intersection warning system (IWS) capable of evaluating different warning systems and communication protocols. In this simulator, the network layer, the physical layer, the driver behavior, and the vehicle traffic are modeled and simulated in detail. An optional repeater is utilized at the intersection to disseminate the position, the velocity, and the acceleration information of the approaching vehicles to the road segments shadowed by buildings. The simulation results show that IWS can significantly reduce both the vehicle collision percentage and the vehicle collision speed.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128107777","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}
L. Paletta, S. Wiesenhofer, N. Brandle, O. Sidla, Y. Lypetskyy
{"title":"Visual surveillance system for monitoring of passenger flows at public transportation junctions","authors":"L. Paletta, S. Wiesenhofer, N. Brandle, O. Sidla, Y. Lypetskyy","doi":"10.1109/ITSC.2005.1520163","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520163","url":null,"abstract":"The goal of the presented project Junction Flow is the development of an innovative pilot system for automated passenger flow analysis. Most critical transportation junctions are monitored using image understanding from visual surveillance and AI based trajectory analysis. With this mobile and continuously employable transport telematics system, the transfer and change behaviour of passengers at transportation nodes within the public transport system is automatically gathered and analyzed. This allows to continuously determine current and accurate passenger flow data with little effort, either regularly, on short term notice or over long periods of time. While the corresponding project Junction Flow is in its early stages we provide a thorough overview on the conceptual framework of the system, describe the functional system architecture and both already implemented and targeted interpretation capabilities within a cognitive vision system controlling a distributed sensor network of surveillance cameras. The preliminary outline of the computer vision system demonstrates first experimental results with promising performance by applying an innovative methodology for passenger tracking for the analysis of passenger junction flows.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"157 1-2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114041263","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":"Obstacle detection in urban traffic using stereovision","authors":"Yingping Huang","doi":"10.1109/ITSC.2005.1520121","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520121","url":null,"abstract":"Obstacle detection and classification in complex urban area are highly demanding, but desirable for protection of vulnerable road users. This paper presents an in-vehicle stereovision-based system for short-range object detection. The basic principles have been given for designing the optical parameters of the system such as baseline, angular coverage, spatial resolution and dynamic range. A novel feature-indexed approach has been proposed to achieve fast and quality stereo matching. Consequently, the depth map is generated by reconstructing all image points into the world coordinates. Object segmentation based on the depth map makes use of 3-dimensional information of the objects, and enables reliable and robust object detection.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123850379","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":"Dynamic equilibrium assignment with microscopic traffic simulation","authors":"H.X. Liu, Wenteng Ma, J. Ban, P. Mirchandani","doi":"10.1109/ITSC.2005.1520129","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520129","url":null,"abstract":"This paper presents a hybrid dynamic traffic assignment model by integrating the analytical dynamic user equilibrium technique and the micro-simulator paramics. The time-dependent path flows are generated by the analytical dynamic user equilibrium model, while the network attributes such as link and path travel times are simulated by the microsimulator. In particular, a path-based assignment method is developed in this paper to replace the off-the-shelf link-based assignment method in paramics. To assure the convergence of the proposed model, the method of successive averages is applied to update dynamic path flows from iteration to iteration. Numerical examples are also provided in this paper to test the performance of the proposed hybrid model and the solution algorithm.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116809096","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}