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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2301.08978/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2301.08978/feed.xml" rel="self" type="application/rss+xml" /><item><title>Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving — mentioned by sorenjan</title><link>https://news.ycombinator.com/item?id=35480231</link><guid isPermaLink="false">urn:hackerpapers:mention:2301.08978:35480231</guid><pubDate>Fri, 07 Apr 2023 10:48:30 GMT</pubDate><description>&lt;p&gt;Cameras can detect both, being drunk or drowsy or distracted share a lot of symptoms regarding eye movement etc. The important thing isn&amp;#x27;t why a driver is impaired, but detecting when they are. https://arxiv.org/pdf/2301.08978.pdf https://www.theverge.com/2022/9/21/23363673/volvo-ex90-elect...&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2301.08978/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.HC</category></item></channel></rss>
