<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction with Automation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1711.06976/</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/1711.06976/feed.xml" rel="self" type="application/rss+xml" /><item><title>MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction with Automation — mentioned by Animats</title><link>https://news.ycombinator.com/item?id=19655538</link><guid isPermaLink="false">urn:hackerpapers:mention:1711.06976:19655538</guid><pubDate>Sat, 13 Apr 2019 20:30:13 GMT</pubDate><description>&lt;p&gt;Softball interview. Musk is still fixated on &amp;quot;What is a car&amp;quot; and &amp;quot;What is not a car&amp;quot;. (At [28:12]). Teslas keep hitting things that are &amp;quot;not a car&amp;quot;, yet clearly aren&amp;#x27;t driveable road. Musk doesn&amp;#x27;t have to evade that issue because the interviewer never brings it up. Actual paper.[1] Which is actually an analysis of the data from [2]. [1] https://hcai.mit.edu/tesla-autopilot-human-side.pdf [2] https://arxiv.org/pdf/1711.06976.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1711.06976/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction with Automation — mentioned by soVeryTired</title><link>https://news.ycombinator.com/item?id=17198607</link><guid isPermaLink="false">urn:hackerpapers:mention:1711.06976:17198607</guid><pubDate>Thu, 31 May 2018 18:09:20 GMT</pubDate><description>&lt;p&gt;Lex Friedman&amp;#x27;s team at MIT seem to think that fully autonomous driving is a long way off: there are just too many edge cases to deal with. https://arxiv.org/abs/1711.06976 From the abstract: &amp;quot;Until these problems are solved, human beings will remain an integral part of the driving task, monitoring the AI system as it performs anywhere from just over 0% to just under 100% of the driving&amp;quot;. Now there&amp;#x27;s room to be optimistic or pessimistic about how much an AI can help, but the academic consensus is that level five will need many more research breakthroughs. There are some good video lectures…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1711.06976/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction with Automation — mentioned by mcguire</title><link>https://news.ycombinator.com/item?id=17158662</link><guid isPermaLink="false">urn:hackerpapers:mention:1711.06976:17158662</guid><pubDate>Fri, 25 May 2018 22:34:53 GMT</pubDate><description>&lt;p&gt;The paper: https://arxiv.org/abs/1711.06976 &amp;quot;Until these problems are solved, human beings will remain an integral part of the driving task, monitoring the AI system as it performs anywhere from just over 0% to just under 100% of the driving. The governing objectives of the MIT Autonomous Vehicle Technology (MIT-AVT) study are to (1) undertake large-scale real-world driving data collection, and (2) gain a holistic understanding of how human beings interact with vehicle automation technology.&amp;quot;&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1711.06976/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item></channel></rss>
