https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Gelder_et_al_2016aGelder et al 2016a - Revision history2026-04-26T00:21:31ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Gelder_et_al_2016a&diff=215573&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 970499421 to Gelder et al 2016a2021-02-16T09:39:54Z<p>Scipediacontent moved page <a href="/public/Draft_Content_970499421" class="mw-redirect" title="Draft Content 970499421">Draft Content 970499421</a> to <a href="/public/Gelder_et_al_2016a" title="Gelder et al 2016a">Gelder et al 2016a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Gelder_et_al_2016a&diff=215572&oldid=prevScipediacontent: Created page with " == Abstract == More and more Advanced Driver Assistance Systems (ADASs) are entering the market for improving both safety and comfort. Adaptive Cruise Control (ACC) is an AD..."2021-02-16T09:39:50Z<p>Created page with " == Abstract == More and more Advanced Driver Assistance Systems (ADASs) are entering the market for improving both safety and comfort. Adaptive Cruise Control (ACC) is an AD..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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More and more Advanced Driver Assistance Systems (ADASs) are entering the market for improving both safety and comfort. Adaptive Cruise Control (ACC) is an ADAS application that has high interaction with the driver. ACC systems use limited sensor input and have only few configuration possibilities. This may result in the behaviour of the ACC not matching user's preferences in all cases, resulting in lower acceptance of the system. In this work, we examine the possibilities for a Personalised ACC (PACC), which adapts the ACC settings such that it matches the driver preference in order to increase the acceptance. The driver preferred ACC behaviour is predicted using machine learning techniques and manual driving data. On-road experiments showed that the method is promising as it is able to discriminate between two preference clusters with an accuracy of 85%.<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:ad7a845f-9be2-4bc7-96b5-83e321188a69 http://resolver.tudelft.nl/uuid:ad7a845f-9be2-4bc7-96b5-83e321188a69]<br />
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* [http://xplorestaging.ieee.org/ielx7/7527552/7535353/07535544.pdf?arnumber=7535544 http://xplorestaging.ieee.org/ielx7/7527552/7535353/07535544.pdf?arnumber=7535544],<br />
: [http://dx.doi.org/10.1109/ivs.2016.7535544 http://dx.doi.org/10.1109/ivs.2016.7535544]<br />
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* [https://dblp.uni-trier.de/db/conf/ivs/ivs2016.html#GelderCUKIH16 https://dblp.uni-trier.de/db/conf/ivs/ivs2016.html#GelderCUKIH16],<br />
: [https://repository.tudelft.nl/view/tno/uuid:ad7a845f-9be2-4bc7-96b5-83e321188a69 https://repository.tudelft.nl/view/tno/uuid:ad7a845f-9be2-4bc7-96b5-83e321188a69],<br />
: [https://www.narcis.nl/publication/RecordID/oai%3Atudelft.nl%3Auuid%3Aad7a845f-9be2-4bc7-96b5-83e321188a69 https://www.narcis.nl/publication/RecordID/oai%3Atudelft.nl%3Auuid%3Aad7a845f-9be2-4bc7-96b5-83e321188a69],<br />
: [http://dx.doi.org/10.1109/IVS.2016.7535544 http://dx.doi.org/10.1109/IVS.2016.7535544],<br />
: [https://academic.microsoft.com/#/detail/2517167844 https://academic.microsoft.com/#/detail/2517167844]</div>Scipediacontent