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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>3D Visual Perception for Self-Driving Cars using a Multi-Camera System: Calibration, Mapping, Localization, and Obstacle Detection · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1708.09839/</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/1708.09839/feed.xml" rel="self" type="application/rss+xml" /><item><title>3D Visual Perception for Self-Driving Cars using a Multi-Camera System: Calibration, Mapping, Localization, and Obstacle Detection — mentioned by hndamien</title><link>https://news.ycombinator.com/item?id=18782172</link><guid isPermaLink="false">urn:hackerpapers:mention:1708.09839:18782172</guid><pubDate>Sat, 29 Dec 2018 06:02:07 GMT</pubDate><description>&lt;p&gt;The edit button is a wonderful tool. Besides, the fact that I can drive my car relying primarily on two eyes and a brain suggests that it must be possible to extract and process the information to drive a car with stereo vision, and without LIDAR. LIDAR may become cheap and small enough that it should be added purely from a safety perspective - more better information is better. However, I think plenty of experts would agree that theoretically it is possible without. Here are some experts that think it works without LIDAR, so you may wish to edit “every”. https://arxiv.org/pdf/1708.09839.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1708.09839/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
