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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1812.07179/</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/1812.07179/feed.xml" rel="self" type="application/rss+xml" /><item><title>Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving — mentioned by WhatIsDukkha</title><link>https://news.ycombinator.com/item?id=19799400</link><guid isPermaLink="false">urn:hackerpapers:mention:1812.07179:19799400</guid><pubDate>Wed, 01 May 2019 17:20:47 GMT</pubDate><description>&lt;p&gt;That quote I posted was the sentences just before the ones you selected. Why don&amp;#x27;t you read the paper a bit - https://arxiv.org/pdf/1812.07179.pdf And then work out why they used the words &amp;quot;birds eye&amp;quot; that you found so upsetting.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1812.07179/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving — HN submission</title><link>https://news.ycombinator.com/item?id=19770027</link><guid isPermaLink="false">urn:hackerpapers:submission:1812.07179:19770027</guid><pubDate>Sun, 28 Apr 2019 08:32:40 GMT</pubDate><description>&lt;p&gt;Pseudo-Lidar: Bridging the Gap in 3D Object Detection for Autonomous Driving&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1812.07179/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving — HN submission</title><link>https://news.ycombinator.com/item?id=19765851</link><guid isPermaLink="false">urn:hackerpapers:submission:1812.07179:19765851</guid><pubDate>Sat, 27 Apr 2019 15:00:59 GMT</pubDate><description>&lt;p&gt;Bridging the Gap in 3D Object Detection for Autonomous Driving&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1812.07179/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving — mentioned by pbreit</title><link>https://news.ycombinator.com/item?id=19745862</link><guid isPermaLink="false">urn:hackerpapers:mention:1812.07179:19745862</guid><pubDate>Thu, 25 Apr 2019 07:37:27 GMT</pubDate><description>&lt;p&gt;Continuing to deny something that exists is actually beyond calling it impossible! If you&amp;#x27;ve got some spare time, go read some third party research on how cameras might actually be better. Lidar superiority is a myth. https://arxiv.org/pdf/1812.07179.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1812.07179/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving — HN submission</title><link>https://news.ycombinator.com/item?id=19745077</link><guid isPermaLink="false">urn:hackerpapers:submission:1812.07179:19745077</guid><pubDate>Thu, 25 Apr 2019 04:51:08 GMT</pubDate><description>&lt;p&gt;Pseudo-Lidar Visual Depth Estimation: 3D Object Detection for Autonomous Driving&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1812.07179/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving — HN submission</title><link>https://news.ycombinator.com/item?id=19738770</link><guid isPermaLink="false">urn:hackerpapers:submission:1812.07179:19738770</guid><pubDate>Wed, 24 Apr 2019 14:39:04 GMT</pubDate><description>&lt;p&gt;Pseudo-Lidar from Visual Depth Estimation&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1812.07179/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving — mentioned by Isinlor</title><link>https://news.ycombinator.com/item?id=19737367</link><guid isPermaLink="false">urn:hackerpapers:mention:1812.07179:19737367</guid><pubDate>Wed, 24 Apr 2019 11:38:54 GMT</pubDate><description>&lt;p&gt;Independent researchers have already proven Musk to be 100% right about LIDAR. Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving https://arxiv.org/abs/1812.07179 3D object detection is an essential task in autonomous driving. Recent techniques excel with highly accurate detection rates, provided the 3D input data is obtained from precise but expensive LiDAR technology. Approaches based on cheaper monocular or stereo imagery data have, until now, resulted in drastically lower accuracies --- a gap that is commonly attributed to poor…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1812.07179/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving — HN submission</title><link>https://news.ycombinator.com/item?id=18726951</link><guid isPermaLink="false">urn:hackerpapers:submission:1812.07179:18726951</guid><pubDate>Thu, 20 Dec 2018 17:28:27 GMT</pubDate><description>&lt;p&gt;Pseudo-LiDAR from Visual Depth Estimation&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1812.07179/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
