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Intelligent Transportation Systems Magazine, IEEE

Issue 4 • Date Winter 2012

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Displaying Results 1 - 17 of 17
  • [Front cover]

    Publication Year: 2012 , Page(s): C1
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  • [Table of contents]

    Publication Year: 2012 , Page(s): 1
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  • Editorial Board

    Publication Year: 2012 , Page(s): 2 - 4
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  • Reflecting on first year [Editor's Column]

    Publication Year: 2012 , Page(s): 2 - 5
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  • IEEE ITSC 2013 [call for papers]

    Publication Year: 2012 , Page(s): 3
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  • Evidence-Based ITS [President's Message]

    Publication Year: 2012 , Page(s): 4 - 5
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  • NOTICE: An Architecture for the Notification of Traffic Incidents

    Publication Year: 2012 , Page(s): 6 - 16
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1047 KB) |  | HTML iconHTML  

    The past decade has witnessed the confluence of Intelligent Transportation Systems and Vehicular Networks that is expected to change drastically incident detection and to provide timely dissemination of traffic-related information to the traveling public. As a first step in this direction we introduce NOTICE, a secure and privacy-aware architecture for the notification of traffic incidents. Using sensor belts embedded in the roadway, traffic-related messages and advisories are carried between belts by passing cars. NOTICE moves the responsibility for making decisions about traffic-related information dissemination to the infrastructure rather than leaving those decisions with the drivers, which may have incomplete or incorrect knowledge. Extensive simulation have confirmed that NOTICE can provide “up-to-the-minute” notification of traffic-related incidents to the various participants in the traffic. View full abstract»

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  • A new scoring mechanism for vehicle crash imminent braking systems

    Publication Year: 2012 , Page(s): 17 - 29
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2007 KB) |  | HTML iconHTML  

    As Crash Imminent Braking (CIB) systems have been introduced to the passenger vehicle market segment, there is an immediate need to develop a standardized performance scoring system which enables an objective comparison of similar CIB systems implemented across various vehicle platforms. It is desirable that this standard is adopted by the entire automotive industry to further advance CIB technologies. It is also a valuable reference for consumers to compare the safety of different vehicles. This paper describes an approach for the establishment of such a standard to evaluate and compare the performance of CIB systems. A set of testing scenarios is proposed for the performance evaluation of CIB systems. Subjective and arguable test scenarios are avoided as much as possible. The applicability of the proposed scoring system is demonstrated with the data collected from some proposed testing scenarios in the evaluation of a 2011 model-year passenger vehicle equipped with a CIB system. View full abstract»

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  • A new confidence estimator for vehicle tracking based on a generalization of Bayes filtering

    Publication Year: 2012 , Page(s): 30 - 41
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1755 KB) |  | HTML iconHTML  

    In safety-critical driver assistance systems such as automatic emergency braking that require the estimation of the vehicle's environment usually a measure of confidence or probability of existence for tracked objects is required. Its purpose is to distinguish real objects from spurious objects based on artifacts within the measurement or tracking process in order to reduce the number of erroneous deployments (false alarms). We review and assess existing approaches of obtaining such measures. We propose a new method of computing a probability of existence by relaxing the underlying assumption of a Bayes filter which leads to a novel estimation algorithm for a probability of existence. The benefits of this approach compared to a standard Bayes filter are illustrated and corroborated by a numerical study using experimental data. View full abstract»

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  • An embedded multi-modal system for object localization and tracking

    Publication Year: 2012 , Page(s): 42 - 53
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (9983 KB) |  | HTML iconHTML  

    Reliable obstacle detection and localization is a key issue for driver assistance systems, particularly in urban environments. In this study a multi-modal perception approach is investigated, the objective being to enhance vehicle localization and dynamic object tracking in a world-centric map. A 3D ego-localization is achieved by merging information from a stereo vision system and data obtained from vehicle sensors. Mobile objects are detected using a multi-layer lidar that is also used to identify a constrained search space within the multiple target tracking process. Object localization and tracking is then performed in the fixed frame, which facilitates analysis and understanding of the scene. Experimental results using real world data are performed to evaluate the performance of the multi-modal system, and these are presented to show the effectiveness of the approach. View full abstract»

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  • 2012 IEEE Intelligent Vehicles Symposium 3-7 June, Alcala de Henares, Spain [Conference Report]

    Publication Year: 2012 , Page(s): 54 - 55
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  • 2012 IEEE Intelligent Transportation Systems Conference September 16-19, 2012, Anchorage, Alaska, USA [Society News]

    Publication Year: 2012 , Page(s): 56 - 57
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  • IEEE Members for over 50 years [Society News]

    Publication Year: 2012 , Page(s): 57
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  • Calendar

    Publication Year: 2012 , Page(s): 58
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  • 2012 Index

    Publication Year: 2012 , Page(s): 59 - 62
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  • Call for Papers - IEEE Intelligent Transportation Systems Magazine

    Publication Year: 2012 , Page(s): 63
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  • IEEE Intelligent Vehicles Symposium IV 13 [call for papers]

    Publication Year: 2012 , Page(s): C3
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Aims & Scope

The IEEE Intelligent Transportation Systems Magazine (ITSM) publishes peer-reviewed articles that provide innovative research ideas and application results, report significant application case studies, and raise awareness of pressing research and application challenges in all areas of intelligent transportation systems. 

Full Aims & Scope

Meet Our Editors

Editor-in-Chief


Miguel Ángel Sotelo

Department of Computer Engineering

University of Alcalá