https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Cara_Gelder_2015aCara Gelder 2015a - Revision history2026-05-08T02:59:42ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Cara_Gelder_2015a&diff=216015&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 103712256 to Cara Gelder 2015a2021-02-16T10:16:28Z<p>Scipediacontent moved page <a href="/public/Draft_Content_103712256" class="mw-redirect" title="Draft Content 103712256">Draft Content 103712256</a> to <a href="/public/Cara_Gelder_2015a" title="Cara Gelder 2015a">Cara Gelder 2015a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Cara_Gelder_2015a&diff=216014&oldid=prevScipediacontent: Created page with " == Abstract == The number of fatal car-cyclist accidents is increasing. Advanced Driver Assistance Systems (ADAS) can improve the safety of cyclists, but they need to be tes..."2021-02-16T10:16:23Z<p>Created page with " == Abstract == The number of fatal car-cyclist accidents is increasing. Advanced Driver Assistance Systems (ADAS) can improve the safety of cyclists, but they need to be tes..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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The number of fatal car-cyclist accidents is increasing. Advanced Driver Assistance Systems (ADAS) can improve the safety of cyclists, but they need to be tested with realistic safety-critical car-cyclist scenarios. In order to store only relevant scenarios, an online classification algorithm is needed. We demonstrate that machine learning techniques can be used to detect and classify those scenarios based on their trajectory data. A dataset consisting of 99 realistic car-cyclist scenarios is gathered using an instrumented vehicle. We achieved a classification accuracy of the gathered data of 87.9%. The execution time of only 45.8 us shows that the algorithm is suitable for online purposes. cop. 2015 IEEE.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [http://resolver.tudelft.nl/uuid:63e71cd8-c8bf-429d-bf3b-6ff0b4047575 http://resolver.tudelft.nl/uuid:63e71cd8-c8bf-429d-bf3b-6ff0b4047575]<br />
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* [http://xplorestaging.ieee.org/ielx7/7307301/7312804/07313415.pdf?arnumber=7313415 http://xplorestaging.ieee.org/ielx7/7307301/7312804/07313415.pdf?arnumber=7313415],<br />
: [http://dx.doi.org/10.1109/itsc.2015.323 http://dx.doi.org/10.1109/itsc.2015.323]<br />
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* [https://dblp.uni-trier.de/db/conf/itsc/itsc2015.html#CaraG15 https://dblp.uni-trier.de/db/conf/itsc/itsc2015.html#CaraG15],<br />
: [https://repository.tudelft.nl/view/tno/uuid:63e71cd8-c8bf-429d-bf3b-6ff0b4047575 https://repository.tudelft.nl/view/tno/uuid:63e71cd8-c8bf-429d-bf3b-6ff0b4047575],<br />
: [https://www.narcis.nl/publication/RecordID/oai%3Atudelft.nl%3Auuid%3A63e71cd8-c8bf-429d-bf3b-6ff0b4047575 https://www.narcis.nl/publication/RecordID/oai%3Atudelft.nl%3Auuid%3A63e71cd8-c8bf-429d-bf3b-6ff0b4047575],<br />
: [https://ieeexplore.ieee.org/document/7313415 https://ieeexplore.ieee.org/document/7313415],<br />
: [https://trid.trb.org/view/1405970 https://trid.trb.org/view/1405970],<br />
: [https://academic.microsoft.com/#/detail/1915261739 https://academic.microsoft.com/#/detail/1915261739]</div>Scipediacontent