{"title":"An assessment of user acceptance of intelligent speed adaptation systems","authors":"J. Piao, M. McDonald, A. Henry, T. Vaa, O. Tveit","doi":"10.1109/ITSC.2005.1520195","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520195","url":null,"abstract":"As a new approach, intelligent speed adaptation (ISA) systems are being developed to help drivers to avoid speeding. In this study, driver acceptance of ISA was assessed based on questionnaire results in three European cities. The following questions were addressed in this study: (1) Do drivers like ISA systems? (2) Are drivers willing to pay for the ISA system? (3) What types of roadways driver like to use ISA systems? This is part of the work of STARDUST, an EU project aimed at assessing the extent to which advanced driver assistance systems (ADAS) and automated vehicle guidance (AVG) systems can contribute to sustainable urban development.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"47 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":"126815051","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":"Performance evaluation of automotive sensor data fusion","authors":"M. Stampfle, D. Holz, J. Becker","doi":"10.1109/ITSC.2005.1520114","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520114","url":null,"abstract":"Modern passenger and commercial vehicles are equipped with an increasing number of sensors that explore the driving surroundings. Sensor data fusion algorithms accumulate all available sensor information and provide models describing the surroundings. In this paper, an approach to evaluate the performance of such automotive sensor data fusion algorithms is presented. The method calculates performance indices on several evaluation levels. Since the number of performance indices decreases from low to high evaluation levels, the indices can be arranged in a pyramidal structure. While a large number of indices on lower levels describe many aspects and details of the evaluation process, few indices on higher levels give a more overall answer to the performance issue.","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":"114075361","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":"Towards a new approach in supporting drivers function: specifications of the SASPENCE system","authors":"F. Tango, A. Saroldi","doi":"10.1109/ITSC.2005.1520118","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520118","url":null,"abstract":"This paper describes the functional specifications of the SASPENCE system, developed inside the homonymous sub-project in the European co-funded Integrated Project PReVENT. SASPENCE (Safe Speed and safe Distance) concept aims at studying, implementing and assessing a new assisting function, which is able to co-operate with the driver in most critical situations, by means of an optimal HMI, suggesting the most appropriate speed and distance to keep, depending on the external and internal scenarios. In this paper the main functions, the operative scenarios and the main system features are described and detailed.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"335 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":"121251175","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":"Robot local motion planning among moving obstacles","authors":"B. Kreczmer","doi":"10.1109/ITSC.2005.1520085","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520085","url":null,"abstract":"The paper presents a local navigation system for a mobile robot. The method doesn't take into account kinematics and dynamics of the robot. The main concern of the presented approach is the decision procedure allowing to choose a speed and movement direction applying only simplified rules. The kinematics and dynamics is planned to be taken into account at the next step of the approach development. In the last section some remarks explaining how kinematics of a robot can be included are presented.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"25 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":"115317367","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}
R. Behringer, W. Travis, R. Daily, D. Bevly, W. Kubinger, W. Herzner, V. Fehlberg
{"title":"RASCAL - an autonomous ground vehicle for desert driving in the DARPA Grand Challenge 2005","authors":"R. Behringer, W. Travis, R. Daily, D. Bevly, W. Kubinger, W. Herzner, V. Fehlberg","doi":"10.1109/ITSC.2005.1520123","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520123","url":null,"abstract":"The DARPA Grand Challenge is a competition of autonomous ground vehicles in the Mojave desert, with a prize of } for the winner. This event was organized in 2004 and held annually at least until 2007, until a team wins the prize. The teams are coming from various background, but the rule that no US government funding or technology that was created with US government funding could be used for this competition, prevented some of the well established players to participate. The team SciAutonics/Auburn-Engineering continues their effort to build a system for participation in this challenge, based on the 2004 entry RASCAL. The main focus in the system design is on improvements of the design from 2004. Novel sensing modalities the team plans to use in 2005, are a stereo vision system and a radar system for obstacle detection. Offline simulation allows to analyze situations in the laboratory and to replay recordings from sensors. The Grand Challenge 2005 takes place on October 8, and the SciAutonics/Auburn team intends to compete with the improved RASCAL system.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"27 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120999667","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":"Performance evaluation of the MAC protocol for integrated inter-vehicle and road to vehicle","authors":"K. Fujimura, T. Hasegawa","doi":"10.1109/ITSC.2005.1520066","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520066","url":null,"abstract":"This paper describes a performance evaluation of the medium access control (MAC) protocol for integrated inter-vehicle communications (IVC) and road to vehicle communications (RVC) called VRCP (vehicle and road-side collaborative MAC protocol) that achieve the high performance in communications. VRCP can use RVC not only for the access control of IVC but also for the data communication. Computer simulations by the autonomous cruising traffic simulator including the MAC model and shadowing model are carried out to evaluate the performance of the VRCP in realistic traffic conditions. Results of the simulations show the performances of the VRCP in the case of using RVC only for access control of IVC and another case of using RVC for both access control of IVC and data communication. In particular, the VRCP can achieve high performance by using RVC to compensate the data of IVC even in the shadowing conditions, compared to the conventional IVC by contention access scheme.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"31 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":"114312222","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. López, C. Cañero, J. Serrat, J. Saludes, F. Lumbreras, T. Graf
{"title":"Detection of lane markings based on ridgeness and RANSAC","authors":"A. López, C. Cañero, J. Serrat, J. Saludes, F. Lumbreras, T. Graf","doi":"10.1109/ITSC.2005.1520139","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520139","url":null,"abstract":"Detection of lane markings based on a camera sensor can be a low cost solution to lane departure warning and lateral control. However, reliable detection is difficult due to cast shadows, vehicles occluding the marks, wear, vehicle motion, etc. The contribution of this paper is twofold. Firstly, we propose to explore another low-level image descriptor, namely, the ridgeness, instead of the gradient magnitude with the aim of getting a more reliable lane marking detection under adverse circumstances. Besides, the proposed measure comes with an associated orientation which is less noisy than the gradient one. Secondly, we have adapted RANSAC, a generic robust estimation method, to fit a parametric model to the image lane lines using both ridgeness and orientation as input data. In short, in this paper a better feature type and a robust fitting method are proposed, which contribute to improve the lane lines detection reliability, and still achieving real-time.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"92 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":"114326046","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":"Novel application of hybrid spread spectrum technique in inter-vehicle communications","authors":"S. Yang, H. Refai","doi":"10.1109/ITSC.2005.1520065","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520065","url":null,"abstract":"Inter-vehicle communication is an essential part of any intelligent transportation system (ITS). It allows vehicles to share surrounding road traffic information to support safe driving and road traffic management. Current systems use spread spectrum (SS) techniques: direct sequence (DS) or frequency hopping (FH). This paper proposes an implementation of a hybrid system in which DSSS and FHSS techniques are combined to provide performance and scalability improvements over a system that uses either of the SS techniques. Also this paper presents a theoretical analysis showing the improvement in the overall system capacity of the proposed system and the results of the computer simulations conducted. The results show that given an equal bandwidth, the hybrid system out performed the DS or FH systems. It showed superior bit error rate (BER) performance and scalability.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"21 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":"114869952","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":"Guard rail detection using radar and vision data fusion for vehicle detection algorithm improvement and speed-up","authors":"A. Broggi, Pietro Cerri, F. Oleari, M. Paterlini","doi":"10.1109/ITSC.2005.1520162","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520162","url":null,"abstract":"This paper describes a method for detecting guard rails fusing radar and vision data in order to improve and speed-up vehicle detection algorithms. The method is based on the search for uninterrupted oblique lines that cross an interest area. The interest area is dynamically indicated by a radar sensor. A method to manage overlapping areas is also described. The method's efficiency, both in terms of time saving and correct detection rate, is numerically shown.","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":"115506278","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":"Lateral control of autonomous vehicle for public urban mobility systems","authors":"S. Malan, M. Milanese, P. Borodani, A. Gallione","doi":"10.1109/ITSC.2005.1520077","DOIUrl":"https://doi.org/10.1109/ITSC.2005.1520077","url":null,"abstract":"This paper deals with lateral dynamic control of electric vehicles in a urban environment, motivated by individual public transportation issues, aimed to reduce metropolitan areas pollution. The framework in which the control strategy is developed is the so-called \"look-down reference\", where the lateral displacement is obtained from a on-board sensor, interacting with a road infrastructure. In this framework, the designed control algorithm is made up of three nested closed loops with cascade compensators, where the outer one is nonlinear. Results from experimental tests performed on an actual circuit show the effectiveness of the considered control strategy.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"2 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":"123081117","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}