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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Free Space Estimation using Occupancy Grids and Dynamic Object Detection · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1708.04989/</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/1708.04989/feed.xml" rel="self" type="application/rss+xml" /><item><title>Free Space Estimation using Occupancy Grids and Dynamic Object Detection — mentioned by unityByFreedom</title><link>https://news.ycombinator.com/item?id=16765923</link><guid isPermaLink="false">urn:hackerpapers:mention:1708.04989:16765923</guid><pubDate>Thu, 05 Apr 2018 15:44:25 GMT</pubDate><description>&lt;p&gt;Apparently their radar can only see objects that move. So, to see this barrier, you&amp;#x27;d have to guess its distance from 2D images. That&amp;#x27;s a hard problem. I think this would be called &amp;quot;obstacle detection using stereo vision&amp;quot; or maybe even &amp;quot;monocular vision&amp;quot; if they&amp;#x27;re using one camera. There isn&amp;#x27;t as much research into this field as there is in systems that use lidar because lidar has been proven to work, and academics probably don&amp;#x27;t care as much about building their products at massive scales, so the cost of lidar doesn&amp;#x27;t matter as much. Searching Arxiv for that phrase [1], the top result is a…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1708.04989/"&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>
