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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
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    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
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      <title>A Vision-Based Driver Assistance System with Forward Collision and Overtaking Detection</title>
      <link>https://trid.trb.org/View/1744027</link>
      <description><![CDATA[One major concern in the development of intelligent vehicles is to improve the driving safety. It is also an essential issue for future autonomous driving and intelligent transportation. In this paper, the authors present a vision-based system for driving assistance. A front and a rear on-board camera are adopted for visual sensing and environment perception. The purpose is to avoid potential traffic accidents due to forward collision and vehicle overtaking, and assist the drivers or self-driving cars to perform safe lane change operations. The proposed techniques consist of lane change detection, forward collision warning, and overtaking vehicle identification. A new cumulative density function (CDF)-based symmetry verification method is proposed for the detection of front vehicles. The motion cue obtained from optical flow is used for overtaking detection. It is further combined with a convolutional neural network to remove repetitive patterns for more accurate overtaking vehicle identification. The authors' approach is able to adapt to a variety of highway and urban scenarios under different illumination conditions. The experiments and performance evaluation carried out on real scene images have demonstrated the effectiveness of the proposed techniques.]]></description>
      <pubDate>Wed, 21 Oct 2020 09:52:37 GMT</pubDate>
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      <title>Evaluation of Forward Collision Warning System for Urban Driving</title>
      <link>https://trid.trb.org/View/801797</link>
      <description><![CDATA[Commercially available forward collision warning systems (FCWS) have been designed for highway use, with traffic moving in regular patterns on roadways with modest curvature. The development and the evaluation of an FCWS for urban driving are described. An urban FCWS is significantly more complicated because of irregular movements of subject (equipped) and target vehicles, as well as the presence of many static objects close to the vehicle’s path (parked cars, street furniture, etc.). The prototype FCWS was tested for 1 year on two urban transit buses in public service in San Mateo County, California, and Pittsburgh, Pennsylvania. Analysis of the data collected from these tests shows that the FCWS produced favorable changes in driving behavior, generally leading bus operators to drive more cautiously and consistently. The tests did not continue long enough to determine long-term changes in driving behavior or carryover effects after FCWS use ended, so additional testing is needed to address those issues.]]></description>
      <pubDate>Tue, 08 May 2007 12:42:31 GMT</pubDate>
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